Bibliography

  1. [ABE 03] ABEILLÉ A., CLÉMENT L., TOUSSENEL F., “Building a treebank for French”, in ABEILLÉ A. (ed.), Treebanks, Kluwer, Dordrecht, 2003.
  2. [ACL 16] ACL, Proceedings of the First Conference on Machine Translation (WMT), Berlin, Germany, available at: http://www.statmt.org/wmt16/book.pdf, 7–12 August 2016.
  3. [ADA 92] ADAM J.-M., Les textes : types et prototypes, Nathan, Paris, 1992.
  4. [ADA 01] ADAM J.-M., “Types de textes ou genres de discours ? Comment classer les textes qui disent de et comment faire ?”, Langages, vol. 35, no. 141. pp. 10–27, available at: http://www.persee.fr/web/revues/home/prescript/article/lgge_0458-726X_2001_num_35_141_872, 2001.
  5. [ADD 98] ADDA G., LECOMTE J., MARIANI J. et al., “The GRACE French Part-of-Speech tagging evaluation task”, The First International Conference on Language Resources and Evaluation (LREC), vol. 1, ELDA, Granada, pp. 433–441, May 1998.
  6. [AGR 98] AGRAWAL R., GEHRKE J., GUNOPULOS D. et al., “Automatic subspace clustering of high dimensional data for data mining applications”, SIGMOD ‘98 Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data, pp. 94–105, 1998.
  7. [ALB 08] ALBACETE R.O., LÉON J., JORGE BOTANA G., “Using latent semantic analysis vs. human judgments assessing short summaries in expository texts”, available at: http://www.researchgate.net/publication/267836513_Using_Latent_Semantic_Analysis_vs._Human_Judgements_assessing_short_summaries_in_expository_texts, 2008.
  8. [ALL 95] ALLEN P.J., The train 93 dialogs, TRAINS Technical note94-2, The University of Rochester Computer Science Department, March 1995.
  9. [ALL 01] ALLEN C., HAND M.L., Logic Primer, MIT Press, Cambridge, 2001.
  10. [ALP 66] ALPAC, Languages and machines: computers in translation and linguistics, A report by the Automatic Language Processing Advisory Committee, Division of Behavioral Sciences, National Academy of Sciences, National Research Council, Washington, DC, National Academy of Sciences, National Research Council, Publication 1416, 1966.
  11. [ALT 99] ALTMANN G.T.M., “Thematic role assignment in context”, Journal of Memory and Language, vol. 41, pp. 124–145, 1999.
  12. [AMI 13] AMINI M.-R., GAUSSIER E., Recherche d’information : Applications, modèles et algorithmes, Applications, modèles et algorithmes – Fouille de données, décisionnel et big data, Eyrolles, Paris, 2013.
  13. [AMO 13] AMORES J., “Multiple instance classification: review, taxonomy and comparative study”, Artificial Intelligence, vol. 201, pp. 81–105, 2013.
  14. [AMS 06] AMSILI P., “Logique du premier ordre : une introduction aux linguists”, available at: www.linguist.univ-paris-diderot.fr/~amsili/Ens06/mainBx.pdf, 2006.
  15. [AND 77] ANDERSON J.M., “On case grammar”, Journal of Linguistics, vol. 17. no. 2, pp. 374–378, 1977.
  16. [AND 85] ANDREWS A., “Major functions of noun phrase”, in SHOPEN T. (ed.), Language Typology and Syntactic Description, vol. 1, Cambridge University Press, Cambridge, 1985.
  17. [AND 07] ANDREWS N.O., FOX E.A., Recent developments in document clustering, VirginiaTech Technical Report, available at: http://eprints.cs.vt.edu/archive/00001000/01/docclust.pdf, 2007.
  18. [ANT 00] ANTOINE J.-Y., SIROUX J., CAELEN J. et al., “Obtaining predictive results with an objective evaluation of spoken dialogue systems: experiments with the DCR assessment paradigm”, LREC’2000, Athens, Greece, 2000.
  19. [ANT 02a] ANTOINE J.-Y., LETELLIER-ZARSHENAS S., NICOLAS P. et al., “Corpus OTG et ECOLE_MASSY : vers la constitution d’une collection de corpus francophones de dialogue oral diffusés librement”, Actes TALN’2002, Nancy, France, pp. 319–324, June 2002.
  20. [ANT 02b] ANTOINE J.-Y., BOUSQUET-VERNHETTES C., GOULIAN J. et al., “Predictive and objective evaluation of speech understanding: the “challenge” evaluation campaign of the I3 speech workgroup of the French CNRS”, Proceedings of the 3rd International Conference on Language Resources and Evaluation (LREC), ELDA, Las Palmas, Spain, pp. 529–535, May 2002.
  21. [AON 00] AONE C., RAMOS-SANTACRUZ M., “REES: a large-scale relation and event extraction system”, First Annual Conference of the North American Chapter of the Association for Computational Linguistics, San Francisco, CA, 2000.
  22. [APP 93] APPELT D., HOBBS J., BEAR J. et al., “FASTUS: a finite-state processor for information extraction from real-world text”, International Joint Conference on Artificial Intelligence IJCAI-93, Chambéry, France, 1993.
  23. [ARN 94] ARNOLD D., BALKAN L., MEIJER S. et al., Machine Translation: An Introductory Guide, Blackwell, London, 1994.
  24. [ASC 03] ASCHER D., LUTZ M., Learning Python, 2nd ed., O’Reilly, Sebastopol, 2003.
  25. [ASL 82] ASLAM J., LEBLANC A., STEIN C., “Clustering data without prior knowledge”, 4th International Workshop Algorithm Engineering, Springer LNCS, 1982.
  26. [ASS 93] ASSARAF A., “Quand dire, c’est lier”, Nouveaux Actes Sémiotiques, University of Limoges, PULIM, no. 28, 1993.
  27. [ATW 08] ATWELL E., Corpus linguistics and language learning: bootstrapping linguistic knowledge and resources from text, PhD Dissertation, The University of Leeds, 2008.
  28. [AUG 22] AUGÉ C., Petit Larousse Illustré, nouveau dictionnaire encyclopédique, 185th ed., Larousse, Paris, 1922.
  29. [AUS 55] AUSTIN J.L., How to Do Things with Words, Harvard University Press, Cambridge, MA (translated into French by Lane G., Quand dire, c’est faire, Le Seuil, Paris, 1970), 1955.
  30. [BAC 89] BACH E., Informal Lectures on Formal Semantics, State University of New York, New York, 1989.
  31. [BAC 00] BACHIMONT B., “Engagement sémantique et engagement ontologique : conception et réalisation d’ontologies en Ingénierie des connaissances”, in CHARLET J., ZACKLAD M., KASSEL G. et al. (eds), Ingénierie des connaissances, évolutions récentes et nouveaux défis, Eyrolles, Paris, pp. 305–324, 2000.
  32. [BAC 07] BACH N., BADASKAR S., “A review of relation extraction”, Language Technologies Institute, Carnegie Mellon University, available at: http://orb.essex.ac.uk/CE/CE807/Readings/A-survey-on-Relation-Extraction.pdf, 2007.
  33. [BAL 97] BALDWIN B., “CogNIAC: high precision coreference with limited knowledge and linguistic resources”, Proceedings of the ACL’97/EACL’97 Workshop on Operational Factors in Practical, Robust Anaphora Resolution, Madrid, Spain, pp. 38–45, 1997.
  34. [BAL 07] BALDRIDGE J., ASHER N., HUNTER J., “Annotation for and robust parsing of discourse structure on unrestricted texts”, Zeitschrift fur Sprachwissenschaft, vol. 26, pp. 213–239, 2007.
  35. [BAS 12] BASS L., CLEMENTS P., KAZMAN R., Software Architecture in Practice, Addison-Wesley, Upper Saddle River, 2012.
  36. [BAT 00] BATLINER A., BUCOW J., NIEMANN H. et al., “The prosody module”, in WAHLSTER W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  37. [BAY 00] BAYLON C., MIGNOT X., Initiation à la sémantique du langage, Nathan Université, Paris, 2000.
  38. [BEL 05] BELL D., Software Engineering for Students: A Programming Approach, Addison-Wesley, Harlow, 2005.
  39. [BEN 66] BENVENISTE E., Problèmes de linguistique générale, Gallimard, Paris, 1966.
  40. [BER 95] BERRY M., DUMAIS S., O’BRIEN G., “Using linear algebra for intelligent information retrieval”, SIAM Review, vol. 37, no. 4, pp. 573–595, 1995.
  41. [BER 02] BERNSEN N.-O., BERTON A., CHARFUELÁN M. et al., Progress report on the natural language understanding, Dialogue Management, Response Generation, and Speech Synthesis Components, Vico Deliverable D11, NISLab, November 2002.
  42. [BER 04] BERRY M.J.A., LINOFF G.S., Data Mining Techniques For Marketing, Sales, and Customer Relationship Management, 2nd ed., Wiley Publishing, Indianapolis, 2004.
  43. [BER 13] BERRENDONNER A., “Du morphème à la période: extension du domaine de la syntaxe”, available at: cle.ens-lyon.fr, updated 9 December 2013.
  44. [BIK 97] BIKEL D., MILLER S., SCHWARTZ R. et al., “Nymble: a high-performance learning name-finder”, Proceedings of the Fifth Conference on Applied Natural Language Processing, pp. 194–201, 1997.
  45. [BIR 09] BIRD S., KLEIN E., LOPER E., Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit, O’Reilly Media, 2009.
  46. [BLA 01] BLACKBURN P., DE RIJKE M., VENEMA Y., Modal Logic, Cambridge University Press, 2001.
  47. [BLA 04] BLACKBURN P., BOS J., Working with Discourse Representation Theory, Center for the Study of Language and Information, 2004.
  48. [BLA 05] BLACKBURN P., BOS J., Representation and Inference for Natural Language: A First Course in Computational Semantics, CSLI Press, Stanford, 2005.
  49. [BLA 06] BLACK W., ELKATEB S., RODRIGUEZ H. et al., “Introducing the Arabic WordNet project”, Third International WordNet Conference GWC-06, Jeju Island, Korea, 22–26 January 2006.
  50. [BOB 64] BOBROW D., “A question-answering system for high school algebra word problems”, AFIPS ‘64, pp. 591–614, 27–29 October 1964.
  51. [BOB 77] BOBROW D.G., WINOGRAD T., “An overview of KRL: a knowledge representation language”, Cognitive Science, vol. 1, pp. 3–45, 1 January 1977.
  52. [BOI 01] BOISSIER O., “Modèles et architectures d’agents”, in BRIOT J.P., DEMAZEAU Y. (eds), Principes et Architectures des Systèmes Multi-Agents, Hermes-Lavoisier, 2001.
  53. [BOI 02] BOITET C., MANGETO M., SÉRASSET G., “The Papillon project: cooperatively building lexical data-base to drive open source dictionaries & lexicon”, Proceedings of NLP and XML NLPXML 2002, COLING Workshop, Taipei, Taiwan, pp. 9–15, 31 August 2002.
  54. [BOL 95] BOLAND J.D., TANENHAUS M.K., GARNSEY S.M. et al., “Verb argument structure in parsing and interpretation: evidence from wh-questions”, Journal of Memory and Language, vol. 34, pp. 774–806, 1995.
  55. [BOL 04] BOLSHAKOV I.A., GELBUKH A., Computational Linguistics: Models, Resources, Applications, Instituto Politécnico Nacional, Mexico, 2004.
  56. [BOL 11] BOLLEGALA D., MATSUO Y., ISHIZUKA M., “Relation adaptation: learning to extract novel relations with minimum supervision”, Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, Barcelona, Spain, 16–22 July 2011.
  57. [BOS 96] BOS J., GAMBACK B., LIESKE C. et al., Compositional semantics in Verbmobil, Report 135 University of Sunderland Computational Linguistics, 1996.
  58. [BOU 97] BOUILLON P., Polymorphie et sémantique lexical: le cas des adjectifs, PhD Thesis, Paris VII, Paris, 1997.
  59. [BOU 99] BOUILLON P., “The adjective “vieux”: the point of view of “generative lexicon””, in VIEGAS E. (ed.), Breadth and Depth of Semantic Lexicons, Kluwer Academic Press, 1999.
  60. [BOU 02a] BOUFADEN N., LAPALME G., BENGIO Y., “Découpage thématique : un outil d’aide à l’extraction d’information”, TALN 2002, Nancy, France, June 2002.
  61. [BOU 02b] BOUFADEN N., LAPALME G., BENGIO Y., “Segmentation en thèmes de conversations téléphoniques : traitement en amont pour l’extraction d’information”, TALN02, Nancy, 24–27 June 2002.
  62. [BOY 77] BOYER R.S. et al., “A fast string searching algorithm”, CACM, vol. 20, no. 10, pp. 762–772, October 1977.
  63. [BRA 79] BRACHMAN R.J., “On the epistemological status of semantic networks”, in FINDLER N. (ed.), Associative Networks: Representation and Use of Knowledge by Computers, Academic Press, New York, 1979.
  64. [BRA 85] BRACHMAN R.J., LEVESQUE H.J., Readings in Knowledge Representation, Morgan Kauffman, Los Altos, 1985.
  65. [BRA 95] BRATT H., DOWDING J., HUNICKE-SMITH K., “The SRI telephone-based ATIS system”, Proceedings of the Spoken Language Systems Technology Workshop, Austin, TX, January 1995.
  66. [BRE 87] BRENNAN S.E., WALKER FRIEDMAN M.A., POLLARD C.J., “A centering approach to pronouns”, The 25th Annual Meeting of the Association for Computational Linguistics, Stanford, CA, pp. 155–162, 1987.
  67. [BRI 93] BRILL E., A Corpus Based Approach to Language Learning, PhD Dissertation, University of Pennsylvania, 1993.
  68. [BRI 10] BRILLANT A., XML : Cours et exercices, Eyrolles, Paris, 2010.
  69. [BRO 88] BROWN G., YULE G., Discourse Analysis, Cambridge University Press, Cambridge, 1988.
  70. [BRO 91] BROWN P.F., LAI J.C., MERCER R.L., “Aligning sentences in parallel corpora”, Proceedings of ACL 92, pp. 169–176, 1991.
  71. [BUC 55] BUCHLER J. (ed.), Philosophical Writings of Peirce, The New Dover Edition, New York, 1955.
  72. [BUN 07] BUNESCU R., MOONEY R.J., “Learning to extract relations from the web using minimal supervision”, Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pp. 576–583, 2007.
  73. [BUR 04] BURCHARDT A., KOLLER A., WALTER S., Computational Semantics, ESSLLI04, Nancy, 2004.
  74. [BUR 15] BURNARD L., BAUMAN S. (eds), “TEI P5: guidelines for electronic text encoding and interchange by the TEI consortium”, TEI Consortium, available at: http://www.teic.org/release/doc/tei-p5-doc/readme-2.8.0.html, 2015.
  75. [BUS 96] BUSA F., Compositionality and the semantics of nominals, PhD Dissertation, Brandeis University, 1996.
  76. [CAE 79] CAELEN J., Un modèle d’oreille : analyse de la parole, reconnaissance phonémique, PhD thesis, Toulouse, 1979.
  77. [CAE 94] CAELEN J., CAILLAUD B., ANTOINE J.-Y., “Projet Micro: Modélisation informatique de la cognition en reconnaissance de l’oral”, Actes du séminaire Reconnaissance, GDRPRC Communication Homme-machine, Nancy, pp. 295–319, 1994.
  78. [CAE 95] CAELEN J., “Vers une logique dialogique”, Séminaire International de Pragmatique, Jerusalem, 1995.
  79. [CAM 12] CAMBRIA E., LIVINGSTONE A., HUSSAIN A., “The hourglass of emotions”, in ESPOSITO A. et al. (eds), Cognitive Behavioural Systems 2011, LNCS 7403, Springer-Verlag, Berlin, Heidelberg, pp. 144–157, 2012.
  80. [CAM 15] CAMBRIA E., HUSSAIN A., Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis, Springer, 2015.
  81. [CAN 10] CANDITO M.-H., CRABBÉ B., DENIS P., “Statistical French dependency parsing: treebank conversion and first results”, Proceedings of LREC’10 Conference, La Valletta, Malta, 2010.
  82. [CAR 88] CARPENTER P.A., JUST M.A., “The role of working memory in language comprehension”, in KLAHR D., KOTOVSKY K. (eds), Complex Information Processing: the Impact of Herbert A. Simon, Erlbaum, Hillsdale, 1988.
  83. [CAR 03a] CARL M., WAY A. (eds), Recent Advances in Example-Based Machine Translation, vol. 21, Kluwer Academic Publishers, Dordrecht, 2003.
  84. [CAR 03b] CARLSON L., MARCU D., OKUROWSKI M.E., “Building a discourse-tagged corpus in the framework of rhetorical structure theory”, in VAN KUPPEVELT J., SMITH R. (eds), Current Directions in Discourse and Dialogue, Kluwer, New York, 2003.
  85. [CAR 05] CARDEÑOSA J., GELBUKH A., TOVAR E. (eds), Universal Networking Language: Advances in Theory and Applications, Instituto Politécnico Nacional, Mexico, 2005.
  86. [CAV 94] CAVNAR W.B., TRENKLE J.M., “N-gram-based text categorization”, Proceedings of SDAIR-94, 3rd Annual Symposium on Document Analysis and Information Retrieval, 1994.
  87. [CAV 98] CAVAZZA M., “Synchronous TFG for speech translation”, Proceedings of the International TAG Workshop, Philadelphia, PA, 28–31 July 1998.
  88. [CHA 76] CHAFE W.L., “Givenness, contrastiveness, definiteness, subjects, topics and point of view”, in CHARLES N.L. (ed.), Subject and Topic, Academic Press, New York, 1976.
  89. [CHA 78] CHAROLLES M., “Introduction aux problèmes de la cohérence des textes”, Langue française, vol. 38, pp. 7–41, 1978.
  90. [CHA 86] CHAROLLES M., “Le problème de la cohérence dans les études sur le discours”, in CHAROLLES M., PETOFI J.S., SOZER E. (eds), Research in Text Connexity and Text Coherence, Buske, Hamburg, pp. 1–65, 1986.
  91. [CHA 87] CHAFE W.L., “Cognitive constraints on information flow”, in RUSSELL S.T. (ed.), Coherence and Grounding in Discourse, John Benjamins, Amsterdam, 1987.
  92. [CHA 08] CHAMBERS N., JURAFSKY D., “Unsupervised learning of narrative event chains”, Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Columbus, OH, 2008.
  93. [CHE 93] CHEN S.F., “Aligning sentences in bilingual corpora using lexical information”, ACL93, Columbus, OH, 22–26 June 1993.
  94. [CHI 92] CHINCHOR N., “MUC 4 evaluation metrics”, The Fourth Message Understanding Conference (MUC-4), pp. 22–29, 1992.
  95. [CHI 02] CHICOISNE G., Dialogue entre agents naturels et agents artificiels, PhD Thesis, Institut National Polytechnique de Grenoble, 2002.
  96. [CHO 57] CHOMSKY N., Syntactic Structures, Mouton The Hague, Paris, 1957.
  97. [CHO 65] CHOMSKY N., Aspects of the Theory of Syntax, MIT Press, Cambridge, 1965.
  98. [CHO 71] CHOMSKY N., “Deep structure, surface structures, and semantic interpretation”, in STEINBERG D., JACOBOVITS L.A. (eds), Semantics, Cambridge University Press, Cambridge, 1971.
  99. [CHR 84] CHRISTODOULAKIS S., FALOUTSOS C., “Design considerations for a message file server”, IEEE Transactions on Software Engineering, vol. SE-10, no. 2, pp. 201–210, 1984.
  100. [CHU 40] CHURCH A., “A formulation of the simple theory of types”, Journal of Symbolic Logic, vol. 5, pp. 56–68, 1940.
  101. [CHU 06] CHUN H.-W., TSURUOKA Y., KIM J.-D. et al., “Extraction of gene-disease relations from Medline using domain dictionaries and machine learning”, Pacific Symposium on Biocomputing, pp. 4–15, 2006.
  102. [CIA 01] CIANCARINI P., WOOLDRIDGE M. (eds), Agent-Oriented Software Engineering, Springer-Verlag, January 2001.
  103. [CLA 79] CLARK H.H., SENGAL C.J., “In search of referents for nouns and pronouns”, Memory and Cognition, vol. 7, pp. 35–41, 1979.
  104. [CLE 16a] CLERC M., BOUGRAIN L., LOTTE F., Brain-Computer Interfaces 1: Foundations and Methods, ISTE Ltd, London and John Wiley & Sons, New York, 2016.
  105. [CLE 16b] CLERC M., BOUGRAIN L., LOTTE F., Brain-Computer Interfaces 2: Technology and Applications, ISTE Ltd, London and John Wiley & Sons, New York, 2016.
  106. [COL 97] COLINEAU N., Étude des marqueurs discursifs dans le dialogue finalisé, Thesis, Joseph Fourier University, 1997.
  107. [COO 71] COOK W.A., A case grammar matrix, Languages and Linguistics: Working Papers, no. 5, Washington University School of Languages and Linguistics, pp. 50–81, 1971.
  108. [COO 89] COOK W.A., Case Grammar Theory, Georgetown University Press, Washington, D.C., 1989.
  109. [COP 92] COPESTAKE A., “The ACQUILEX LKB: representation issues in the semi-automatic acquisition of large lexicons”, 3rd Conference on Applied Natural Language Processing, Trento, Italy, 1992.
  110. [COR 95] CORTES C., VAPNIK V., “Support-vector networks”, Machine Learning, vol. 20, pp. 273–297, 1995.
  111. [COV 94] COVINGTON M., Natural Language Processing for Prolog Programmers, Prentice Hall, Englewood, 1994.
  112. [CRA 85] CRAIN S., STEEDMAN M., “On not being led up by the garden path: the use of context by the psychological syntax processor”, in DOWTY D.R. et al. (eds), Natural Language Parsing: Computational and Theoretical Perspectives, Cambridge University Press, Cambridge, 1985.
  113. [CRA 90] CRAWLEY R.A., STEVENSON R.J., KLEINMAN D., “The use of heuristic strategies in the interpretation of pronouns”, Journal of Psycholinguistic Research, vol. 19, pp. 245–264, 1990.
  114. [CRI 98] CRISTEA D., IDE N., ROMARY L., Veins theory: a model of global discourse cohesion and coherence, Proceedings of COLING 1998, Montreal, Canada, 1998.
  115. [CRO 93] CROFT W., Typology and Universals, Cambridge University Press, Cambridge, 1993.
  116. [CRO 96] CROCKER M., Mechanisms for sentence processing, Research Paper EUCCS/RP-70, Centre for Cognitive Science, University of Edinburgh, 1996.
  117. [CRU 00a] CRUSE A., “Lexical “facets”: between monosemy and polysemy”, in BECKMANN S., KONIG P.P., WOLF T. (eds), Sprachspiel und Bedeutung: Festschrift für Franz Hundsnurscher zum 60 Geburtstag, Max Niemeyer Verlag, Tübingen, pp. 25–36, 2000.
  118. [CRU 00b] CRUSE A., Meaning in Language: an Introduction to Semantics and Pragmatics, Oxford University Press, 2000.
  119. [CRU 04] CRUSE A., “Lexical facets and metonymy”, Ilha do desteros Journal of English Language, Literatures in English and Cultural Studies, no. 47, pp. 073–096, 2004.
  120. [CRY 91] CRYSTAL D., A Dictionary of Linguistics and Phonetics, 3rd ed., Blackwell, London, 1991.
  121. [CUL 04] CULOTTA A., SORENSEN J., “Dependency tree kernels for relation extraction”, Proceedings of the 42nd Meeting of the Association for Computational Linguistics (ACL’04), pp. 423–429, 2004.
  122. [CUM 07] CUMMINS R., O’RIORDAN C., “An axiomatic study of learned termweighting schemes”, Artificial Intelligence Review, vol. 28, no. 1, pp. 51–68, 2007.
  123. [DAE 05] DAELEMANS W., VAN DEN BOSCH A., Memory-Based Language Processing, Cambridge University Press, Cambridge, 2005.
  124. [DAW 03] DAWSON M., Python Programming for the Absolute Beginner, Premier Press, Boston, 2003.
  125. [DE 16] DE SAUSSURE F., Cours de linguistique générale, Payot & Rivages, Paris, 1916.
  126. [DE 81] DE BEAUGRANDE R., DRESSIER W.V., Introduction to Text Linguistics, Longman, 1981.
  127. [DEK 12] DEKKER P., Dynamic Semantics, Springer, Dordrecht, 2012.
  128. [DEO 04] DEOSKAR T., “Techniques for anaphora resolution: a survey”, Technical Report CS, Cornell University, available at: www.cs.cornell.edu/courses/cs674/2005sp/projects/tejaswini-deoskar.doc, 17 May 2004.
  129. [DER 16] DERCZYNSKI L., STRÖTGEN J., MAYNARD D. et al., “GATE-time: extraction of temporal expressions and events”, Proceedings of LREC, 2016.
  130. [DEW 98] DEWE J., KARLGREN J., BRETAN I., “Telia research, assembling a balanced corpus from the Internet”, available at: http://eprints.sics.se/63/1/Dropjaw_korpus.html, 1998.
  131. [DIE 97] DIETTERICH T.G., LATHROP R.H., LOZANO-PEREZ T., “Solving the multiple instance problem with axis-parallel rectangles”, Artificial Intelligence, vol. 89, nos. 1–2, pp. 31–71, 1997.
  132. [DME 07] D’MELLO S., PICARD R.W., GRAESSER A., “Toward an affect-sensitive AutoTutor”, IEEE Intelligent Systems, vol. 22, no. 4, pp. 53–61, 2007.
  133. [DOS 55] DOSTERT L.E., “The Georgetown–I.B.M. experiment”, in LOCKE W.N., BOOTH A.D. (eds), Machine Translation of Languages, Wiley, 1955.
  134. [DOY 85] DOYON G., TALBOT P., La logique du raisonnement, Le Griffon d’Argile, Sainte-Foy, 1985.
  135. [DUB 71] DUBOIS J. et al., Dictionnaire du français contemporain, Larousse, Paris, 1971.
  136. [DUB 91] DUBOIS D. (ed.), Sémantique et cognition : catégories, prototypes, typicalité, Editions du CNRS, Paris, 1991.
  137. [DUC 69] DUCROT O., “Présupposés et sous-entendus”, Langue française, no. 4, pp. 30–43, 1969.
  138. [DUC 87] DUCROT O., Le Dire et le Dit, Editions de Minuit, Paris, 1987.
  139. [DUT 04] DUTEIL-MOUGEL C., “Introduction à la sémantique interprétative”, Texto ! [e-book], available at : http://www.revue-texto.net/Reperes/Themes/Duteil/Duteil_Intro.html, December 2004.
  140. [DUT 08] DUTTA K. et al., “Resolving pronominal anaphora in Hindi using Hobbs’ algorithm”, Web Journal of Formal Computation and Cognitive Linguistics, no. 10, 2008.
  141. [EBR 16] EBRAHIMI J., DOU D., LOWD D., “A joint sentiment-target-stance model for stance classification in tweets”, Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pp. 2656–2665, Osaka, Japan, available at: https://www.aclweb.org/anthology/C/C16/C16-1250.pdf, 11–17 December 2016.
  142. [EDW 93] EDWARDS J., “Principles and contrasting systems of discourse transcription”, in EDWARDS J., LAMPERT M. (eds), Talking Data: Transcription and Coding in Discourse Research, Lawrence Erlbaum Associates, Hillsdale, 1993.
  143. [EIB 16] EIBE F., HALL M.A., WITTEN I.H., The WEKA Workbench. Online Appendix for Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, 4th ed., 2016.
  144. [EIS 08] EISENSTEIN J., BARZILAY R., “Bayesian unsupervised topic segmentation”, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP ‘08), Honolulu, HI, pp. 334–343, 2008.
  145. [EKL 96] EKLUND P.W., ELLIS G., MANN G. (eds), Conceptual Structures: Knowledge Representation as Interlingua, Springer-Verlag, Berlin, 1996.
  146. [EKM 92] EKMAN P., “An argument for basic emotions”, Cognition Emotion, vol. 6, no. 3, pp. 169–200, 1992.
  147. [ELL 92] ELLIOTT C., The affective reasoner: a process model of emotions in a multi-agent system, PhD Thesis, Northwestern University, The Institute for the Learning Sciences, Technical Report No. 32, May 1992.
  148. [ENC 09] ENCARTA DVD, Dictionnaire français, Microsoft Corporation, 2009.
  149. [ERM 80] ERMAN L.D., HAYES-ROTH F., LESSER V.R. et al., “The Hearsay-II speech understanding system: integrating knowledge to resolve uncertainty”, ACM Computing Surveys, vol. 12, no. 2, pp. 213–251, 1980.
  150. [ERM 81] ERMAN L.D., LONDON P.E., FICKAS S.F., “The design and an example use of Hearsay-II”, Proc. IJCAI-81, pp. 409–415, 1981.
  151. [ESU 06] ESULI A., SEBASTIANI F., “SENTIWORDNET: a publicly available lexical resource for opinion mining”, The 5th Conference on Language Resources and Evaluation LREC, Genoa, Italy, 24–26 May 2006.
  152. [ETZ 05] ETZIONI O., CAFARELLA M., DOWNEY D., “Unsupervised named-entity extraction from the web: an experimental study”, Artificial Intelligence, vol. 165, no. 1, pp. 91–134, 2005.
  153. [FAU 84] FAUCONNIER G., Espaces Mentaux, Editions de Minuit, Paris, 1984.
  154. [FEL 90a] FELLBAUM C., MILLER G., “Folk psychology or semantic entailment? A reply to Rips and Conrad”, Psychological Review, vol. 97, no. 4, pp. 565–570, 1990.
  155. [FEL 90b] FELLBAUM C., “English verbs as a semantic net”, International Journal of Lexicography, vol. 3, no. 4, pp. 278–301, 1990.
  156. [FEL 05] FELLBAUM C., “WordNet and wordnets”, in BROWN K. et al. (eds), Encyclopedia of Language and Linguistics, 2nd ed., Elsevier, Oxford, 2005.
  157. [FEL 07] FELDT K., Programming Firefox: Building Rich Internet Applications with XUL, O’Reilly, 2007.
  158. [FER 00] FERNANDEZ A.J., HILL P.M., “A comparative study of eight constraint programming languages over the Boolean and finite domains”, Constraints, vol. 5, no. 3, pp. 275–301, 2000.
  159. [FIL 66] FILLMORE C.J., “A proposal concerning English prepositions”, Monograph Series on Languages and Linguistics, Georgetown University, no. 19, pp. 19–33, 1966.
  160. [FIL 68] FILLMORE C.J., “The case for case”, in BACH E., HARMS R.T. (eds), Universals in Linguistic Theory, Holt, Rinehart, and Winston, New York, 1968.
  161. [FIL 71] FILLMORE C.J., “Types of lexical information”, in STEINBERG D., JOCABOVITS L. (eds), Semantics, Cambridge University Press, Cambridge, 1971.
  162. [FIL 77] FILLMORE C.J., “The case for case reopened”, in COLE P., SADOCK J. (eds), Syntax and Semantics, Academic Press, New York, vol. 8, 1977.
  163. [FIN 09] FINLAYSON M., “Deriving narrative morphologies via analogical story merging”, Proceedings of the 2nd International Conference on Analogy, Sofia, Bulgaria, 2009.
  164. [FLI 00] FLICKINGER D., COPESTAKE A., SAG I.A., “HPSG analysis of English”, in WAHLSTER W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  165. [FOD 64] FODOR J., KATZ J., The Structure of Language, Prentice-Hall, New Jersey, 1964.
  166. [FOL 96] FOLTZ P.W., “Latent semantic analysis for text-based research”, Behavior Research Methods, Instruments, and Computers, vol. 28, no. 2, pp. 197–202, 1996.
  167. [FOR 65] FORGY E.W., “Cluster analysis of multivariate data: efficiency versus interpretability of classifications”, Biometrics, vol. 21, pp. 768–769, 1965.
  168. [FOR 79] FORSTER K.I., “Levels of processing and the structure of the languages processor”, in COOPER W.E., WALKER E.C.T. (eds), Sentence Processing: Psycholinguistic Studies, Lawrence Erlbaum Associates, 1979.
  169. [FRA 92] FRAKES W.B., BAEZA-YATES R. (eds), Information Retrieval: Data Structures & Algorithms, Prentice Hall, Upper Saddle River, 1992.
  170. [FRA 06] FRANCOPOULO G., MONTE G., CALZOLARI N. et al., “Lexical markup framework (LMF)”, Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC), Genoa, Italy, 24–26 May 2006.
  171. [FRA 08] FRANK R., MATHIS D., BADECKER W., The acquisition of anaphora by simple recurrent networks, Manuscript, Département de linguistique, Yale University, available at: http://whitney.ling.yale.edu/~rfrank/Bob_Frank/Publications.html, 2008.
  172. [FRI 96] FRIEDMAN N., GOLDSZMIDT M., “Building classifiers using Bayesian networks”, Proceedings of the National Conference on Artificial Intelligence, AAAI Press, Menlo Park, CA, pp. 1277–1284, 1996.
  173. [FUC 91] FUCHS C., “Polysémie, interprétation et typicalité : l’exemple de pouvoir”, in DUBOIS D. (ed.), Sémantique et cognition : catégories, prototypes, typicalité, éditions du CNF, Paris, 1991.
  174. [FUC 96] FUCHS C., Les ambigüités du français, Ophrys, Paris 1996.
  175. [FUC 07] FUCHS C., “Champ sémantique et champ lexical”, Encyclopædia Universalis, 2007.
  176. [FUN 94] FUNG P., MCKEOWN K., “Aligning noisy parallel corpora across language groups: word pair feature matching by dynamic time warping”, Proceedings of the Association for Machine Translation (AMTA) in the Americas, pp. 81–88, 1994.
  177. [GAL 93] GALE W.A., CHURCH K.W., “A program for aligning sentences in bilingual corpora”, Computational Linguistics, vol. 19, pp. 75–102, 1993.
  178. [GAL 03] GALLEY M., MCKEOWN K.R., FOSLER-LUSSIER E. et al., “Discourse segmentation of multi-party conversation”, Proceedings of ACL, pp. 562–569, 2003.
  179. [GAN 03] GANGEMI A., GUARINO N., “Sweetening WORDNET with DOLCE”, AI Magazine, vol. 24, no. 3, pp. 13–24, 2003.
  180. [GAR 93] GARLAN D., SHAW M., “An introduction to software architecture”, in AMBRIOLA V., TORTORA G. (eds), Advances in Software Engineering and Knowledge Engineering, vol. 1, World Scientific Publishing Company, New Jersey, 1993.
  181. [GAR 03] GARRIDO J., “Relevance versus connection: discourse and text as units of analysis”, CÍRCULO clac de lingüística aplicada a la comunicación, vol. 13, 2003.
  182. [GAV 00a] GAVALDA M., “SOUP: a parser for real-world spontaneous speech”, Proceedings of the Sixth International Workshop on Parsing Technologies (IWPT-2000), Trento, Italy, February 2000.
  183. [GAV 00b] GAVALDA M., Growing semantic grammars, PhD Dissertation, Carnegie Mellon University, 2000.
  184. [GAZ 89a] GAZDAR G., Natural Language Processing in Lisp: An Introduction to Computational Linguistics, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1989.
  185. [GAZ 89b] GAZDAR G., Natural Language Processing in Prolog: An Introduction to Computational Linguistics, Addison-Wesley Longman Publishing Co., 1989.
  186. [GEN 07] GENETTE G., Discours du récit, Le Seuil, Paris, 2007.
  187. [GEU 02] GEUTNER P., STEFFENS F., MANSTETTEN D., “Design of the Vico spoken dialog system: evaluation of user expectations by Wizard of Oz simulations”, Proceedings of LREC02 Conference, Las Palmas, Spain, 2002.
  188. [GÓM 95] GÓMEZ-PÉREZ A., JURISTO N., PAZOS J., “Evaluation and assessment of knowledge sharing technology”, in MARS N.J. (ed.), Towards Very Large Knowledge Bases, Knowledge Building and Knowledge Sharing, IOS Press, Amsterdam, 1995.
  189. [GOR 93] GORDON P.C., GROSZ B.J., GILLIOM L.A., “Pronouns, names and the centering of attention in discourse”, Cognitive Science, vol. 17, no. 3, pp. 311–347, 1993.
  190. [GOR 06] GORTON I., Essential Software Architecture, Springer, Berlin, 2006.
  191. [GOR 09] GORDON C., Making Meanings, Creating Family: Intertextuality and Framing in Family Interaction, Oxford University Press, Oxford, 2009.
  192. [GRA 05] GRAESSER A.C., CHIPMAN P., HAYNES B.C. et al., “AutoTutor: an intelligent tutoring”, IEEE Transactions on Education, vol. 48, no. 4, pp. 612–618, 2005.
  193. [GRA 10] GRANDY R., OSHERSON D., “Sentential logic primer”, Online Technical Report, University of Princeton, 2004, available at: http://www.princeton.edu/~osherson/primer.pdf, 2010.
  194. [GRE 66] GREIMAS A., Sémantique structurale, PUF, Paris 1966.
  195. [GRE 68] GREIMAS A., RASTIER F., “The interaction of semiotic constraints”, Yale French Studies, vol. 41, pp. 86–105, 1968.
  196. [GRE 04a] GRENON P., SMITH B., GOLDBERG L., “Biodynamic ontology: applying BFO in the biomedical domain”, in PISANELLI D.M. (ed.), Ontologies in Medicine, IOS Press, Amsterdam, 2004.
  197. [GRE 04b] GRENON P., SMITH B., “SNAP and SPAN: towards dynamic spatial ontology”, Spatial Cognition and Computation, vol. 4, pp. 69–103, 2004.
  198. [GRE 06] GREGORY CAPORASO J., BAUMGARTNER W.A., KIM JR. H., “Concept recognition, information retrieval, and machine learning in genomics question-answering”, TREC06 Proceedings, 2006.
  199. [GRI 06] GRIES S.T., STEFANOWITSCH A. (eds), Corpora in Cognitive Linguistics: Corpus-Based Approaches to Syntax and Lexis, Mouton de Gruyter, 2006.
  200. [GRI 07] GRIMM S., HITZLER P., ABECKER A., “Knowledge representation and ontologies: logic, ontologies and semantic web languages, semantic web services”, in STUDER R., GRIMM S., ABECKER A. (eds), Knowledge Representation and Ontologies, Springer, Berlin, Heidelberg, 2007.
  201. [GRI 10] GRISHMAN R., “Information extraction”, in CLARK A., FOX C., LAPPIN S. (eds), The Handbook of Computational Linguistics and Natural Language Processing, Wiley-Blackwell, Malden, 2010.
  202. [GRO 77] GROSZ B.J., The representation and use of focus in dialogue understanding, Technical Report 151, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, 1977.
  203. [GRO 83] GROSZ B.J., JOSHI ARAVIND K., WEINSTEIN S., “Providing a unified account of definite noun phrases in discourse”, Proceedings, 21st Annual Meeting of the Association of Computational Linguistics, pp. 44–50, 1983.
  204. [GRO 86] GROSZ B.J., SIDNER C.L., “Attentions, intentions and the structure of discourse”, Computational Linguistics, vol. 12, pp. 175–204, 1986.
  205. [GRO 91] GROENENDIJK J., STOKHOF M., “Dynamic predicate logic”, Linguistics and Philosophy, vol. 14, pp. 39–100, 1991.
  206. [GRO 04] GROSSMAN D.A., FRIEDER O., Information Retrieval, Algorithms and Heuristics, Springer, 2004.
  207. [GRU 95] GRUBER T.R., “Towards principles for the design of ontologies used for knowledge sharing”, International Journal of Human Computer Studies, vol. 43, nos. 5/6, pp. 907–928, 1995.
  208. [GRÜ 95] GRÜNINGER M., FOX M.S., “Methodology for the design and evaluation of ontologies”, IJCAI-95 Workshop on Basic Ontological Issues in Knowledge Sharing, Montreal, 19–20 August 1995.
  209. [GUA 95] GUARINO N., GIARETTA P., “Ontologies and knowledge bases: towards a terminological clarification”, in MARS N.J.I. (ed.), Towards Very Large Knowledge Bases, IOS Press, Amsterdam, 1995.
  210. [GUA 98] GUARINO N., “Formal ontology in information systems”, Proceedings of FOIS’98, Trento, Italy, pp. 3–15, 6–8 June 1998.
  211. [GUP 12] GUPTA P., GUPTA V., “A survey of text question answering techniques”, International Journal of Computer Applications (0975 – 8887), vol. 53, no. 4, September 2012.
  212. [HAB 97] HABERT B., NAZARENKO A., SALEM A., Les linguistiques de corpus, Armand Colin, Paris, 1997.
  213. [HAJ 98] HAJIC J., “Building a syntactically annotated corpus: the Prague dependency treebank”, in HAJICOVA E. (ed.), Issues of Valency and Meaning, Studies in Honor of Jarmila Panevova, Charles University Press, Prague Karolinum, 1998.
  214. [HAL 64] HALLIDAY M.A.K., “The linguistic study of literary texts”, in LUNT H.G. (ed.), Proceedings of the Ninth International Congress of Linguists, Mouton, The Hague, pp. 302–307, 1964.
  215. [HAL 70] HALLIDAY M.A.K., “Language structure and language function”, in LYONS J. (ed.), New Horizons in Linguistics, Penguin Books, Harmondsworth, 1970.
  216. [HAL 94] HALLIDAY M.A.K., An Introduction to Functional Grammar, Edward Arnold, London, 1994.
  217. [HAR 51] HARRIS J., Hermes: or a Philosophical Inquiry concerning Language and Universal Grammar, Scolar Press, Menston, 1968.
  218. [HAR 52] HARRIS Z., “Discourse analysis”, Language, vol. 28, pp. 18–23, 1952.
  219. [HAR 97] HARDT D., “An empirical approach to VP ellipsis”, Computational Linguistics, vol. 23, no. 4, 1997.
  220. [HAS 68] HASAN R., Grammatical Cohesion in Spoken and Written English, Part 1, Program in Linguistics, and English Teaching, Paper No. 7, Longman, London, 1968.
  221. [HEA 92] HEARST M.A., “Automatic acquisition of hyponyms from large text corpora”, Proceedings of the 14th International Conference on Computational Linguistics, Nantes, France, pp. 539–545, 1992.
  222. [HEA 97] HEARST M., “TextTiling: segmenting text into multi-paragraph subtopic passages”, Computational Linguistics, vol. 23, no. 1, pp. 33–64, 1997.
  223. [HÉB 02] HÉBERT L., “La Sémantique interprétative en résumé”, Texto ! [e-book], Disponible sur, available at : http://www.revue-texto.net/Reperes/Themes/Hebert_SI.html, June 2002.
  224. [HEB 12] HEBERT L., “Dictionnaire de sémiotique générale”, texto! Textes & Cultures [en ligne], vol. XVII, nos. 1 and 2, available at: http://www.signosemio.com/documents/dictionnaire-semiotique-generale.pdf, 2012.
  225. [HEI 82] HEIM I., The semantics of definite and indefinite noun phrases, PhD Thesis, University of Massachusetts, Amherst, 1982.
  226. [HIN 00] HINRICHS E.W., KÜBLER S., KORDONI V. et al., “Robust chunk parsing for spontaneous speech”, in WAHLSTER W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  227. [HIR 96] HIRSCHBERG J., NAKATANI C.H., “A prosodic analysis of discourse segments in direction-giving monologues”, The 34th Annual Meeting on Association for Computational Linguistics ACL96, pp. 286–293, 1996.
  228. [HIR 98] HIRSCHMAN L., “Language understanding evaluations: lessons learned from MUC and ATIS”, Proceedings of the 1st International Conference on Language Resources and Evaluation (LREC), Granada, Spain, pp. 117–122, 1998.
  229. [HJE 43] HJELMSLEV L., Omkring sprogteoriens grundlæggelse, Festskrift udgivet af Københavns Universitet i anledning af Universitetets Aarsfest, University of Copenhagen, Copenhagen, 1943.
  230. [HOB 76] HOBBS J.R., Pronoun resolution, Research Report 76-1, Department of Computer Sciences, City College, City University of New York, August 1976
  231. [HOB 78] HOBBS J.R., “Resolving pronoun references”, Lingua, vol. 44, pp. 311–338, 1978.
  232. [HOL 97] HOLLARD S., L’organisation des connaissances dans le dialogue orienté par la tâche, Technical report 1-97, Geod CLIPS-IMAG, Grenoble, 1997.
  233. [HOR 07] HORAK A., RAMBOUSEK A., “Dictionary management system for the DEB development platform”, Proceedings of the 4th International Workshop on Natural Language Processing and Cognitive Science, pp. 129–138, 2007.
  234. [HSI 95] HSINCHUN C., “Machine learning for information retrieval: neural networks, symbolic learning, and genetic algorithms”, Journal of the American Society for Information Science, vol. 46, no. 3, pp. 194–216, 1995.
  235. [HUA 13] HUANG Y., “Bayesian probabilistic model of discourse anaphoric comprehension linguistic typology, and neo-Gricean pragmatics”, Theoretical Linguistics, vol. 39, nos. 1–2, 2013.
  236. [HUD 88] HUDSON-D’ZMURA S.B., The structure of discourse and anaphor resolution: The discourse center and the roles of nouns and pronouns, PhD Thesis, University of Rochester, 1988.
  237. [HUR 13] HURWITZ J., NUGENT A., HALPER F. et al., Big Data for Dummies, John Wiley & Sons, Inc., Hoboken, NJ, 2013.
  238. [HUT 92] HUTCHINS J.W., SOMERS H.L., An Introduction to Machine Translation, Academic Press, London, 1992.
  239. [HUT 04] HUTCHINS J.W., “Machine translation and computer-based translation tools: what’s available and how it’s used”, edited transcript of a presentation at the University of Valladolid (Spain), available at: http://www.hutchinsweb.me.uk/Valladolid-2004.pdf, March 2003.
  240. [IDE 95] IDE N., VERONIS J., Text Encoding Initiative: Background and Context, Kluwer Academic Publishers, Dordrecht, 1995.
  241. [ISO 86] ISO, ISO 8879 Standard, available at: http://www.iso.org/iso/fr/iso_catalogue/catalogue_tc/catalogue_detail.htm?csnumber=16387, 1986.
  242. [JAC 72] JACKENDOFF R., Semantic Interpretation in Generative Grammar, MIT Press, Cambridge, 1972.
  243. [JAM 84] JAMES W., “What is an emotion?”, Mind, vol. 9, pp. 188–205, available at: http://psychclassics.yorku.ca/James/emotion.htm, 1884.
  244. [JAN 16] JANSSOONE T., CLAVEL C., BAILLY K. et al., “Using temporal association rules for the synthesis of embodied conversational agents with a specific stance”, International Conference on Intelligent Virtual Agents, Springer International Publishing, September 2016.
  245. [JOH 95] JOHNSON E., “The text encoding initiative”, TEXT Technology, vol. 5, no. 3, pp. 174–175, Autumn 1995.
  246. [JON 98] JONES D., BENCH-CAPON T., VISSER P., “Methodologies for ontology development”, 15th FIP World Computer Congress, pp. 62–75, 1998.
  247. [JOS 81] JOSHI A.K., WEINSTEIN S., “Control of inference: role of some aspects of discourse structure-centering”, International Joint Conference on Artificial Intelligence IJCAI, Vancouver, Canada, 1981.
  248. [KAM 75] KAMP J.A.W., “Two theories about adjectives”, in KEENAN E. (ed.), Formal Semantics of Natural Language, Cambridge University Press, Cambridge, 1975.
  249. [KAM 81] KAMP H., “A theory of truth and semantic representation”, in GROENENDIJK J.A.G., JANSSEN T.M.V., STOKHOF M.B.J. (eds), Formal Methods in the Study of Language, Mathematical Centre Tracts 135, Amsterdam, 1981.
  250. [KAM 93] KAMP H., REYLE U., From Discourse to Logic, Kluwer, Dordrecht, 1993.
  251. [KAM 04a] KAMBHATLA N., “Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations”, Proceedings of the 42nd Annual Meeting of the ACL, Barcelona, Spain, 21–26 July 2004.
  252. [KAM 04b] KAMPS J., MARX M., MOKKEN R.J. et al., “Using wordnet to measure semantic orientation of adjectives”, The 4th International Conference on Language Resources and Evaluation, LREC, Lisbon, Portugal, 26–28 May 2004.
  253. [KAP 00] KAPLAN F., L’émergence d’un lexique dans une population d’agents autonomes, PhD Thesis, University of Paris 6, 2000.
  254. [KAR 00] KARGER R., WAHLSTER W. (eds), “Facts and figures about the Verbmobil project, in Wolfgang Wahlster”, Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  255. [KAT 64] KATZ J., POSTAL P., An Integrated Theory of Linguistic Descriptions, MIT Press, Cambridge, 1964.
  256. [KEE 71] KEENAN E.L., “Two kinds of presupposition in natural language”, in FILLMORE C.J., LANGENDOEN D.T. (eds), Langendoen Studies in Linguistic Semantics, Holt, Rinehart & Winston, New York, 1971.
  257. [KEE 05] KEENAN E., “How much logic is built in natural language”, Fifteenth Amsterdam Colloquium, ILLC, University of Amsterdam, pp. 39–45, 2005.
  258. [KEM 75] KEMPSON R., Presupposition and the Delimitation of Semantics, Cambridge University Press, Cambridge, 1975.
  259. [KEN 13] KENDALL K.E., KENDALL J.E., Systems Analysis and Design, 9th ed., Pearson, 2013.
  260. [KER 96] KERBRAT-ORECCHIONI C., La conversation, Le Seuil, Paris, 1996.
  261. [KIM 03] KIM J.-D., OHTA T., TATEISI Y. et al., “GENIA corpus: a semantically annotated corpus for bio-textmining”, Eleventh International Conference on Intelligent Systems for Molecular Biology, Brisbane, Australia, 29 June–3 July 2003.
  262. [KIM 04] KIM S.-M., HOVY E., “Determining the sentiment of opinions”, The 20th International Conference on Computational Linguistics COLING, Geneva, 23–27 August 2004.
  263. [KIN 78] KINTSCH W., VAN DIJK T., “Towards a model of text comprehension and production”, Psychological Review, vol. 85, pp. 363–394, 1978.
  264. [KIN 98] KING M., MAEGAARD B., “Issues in natural language systems evaluation”, First International Conference on Language Resources and Evaluation (LREC), Granada Spain, vol. 1, pp. 225–230, 1998.
  265. [KIP 05] KIPPER K., VerbNet: a broad-coverage, comprehensive verb lexicon, PhD Dissertation University of Pennsylvania, 2005.
  266. [KLE 90] KLEIBER G., La sémantique du prototype : catégories et sens lexical, PUF, Paris, 1990.
  267. [KLE 91] KLEIBER G., “Anaphore – deixis : où en sommes-nous?”, L’information grammaticale, vol. 51, October 1991.
  268. [KLE 96] KLEIBER G., “Cognition, sémantique et facettes: une “histoire” de livres et de romans”, in KLEIBER G., RIEGEL M. (eds), Les Formes du Sens, Duculot, Louvain La Neuve, 1996.
  269. [KLÜ 00] KLÜTER A., ALASSANE N., KIRCHMANN H., “Verbmobil from a software engineering point of view: system design and software integration”, in WAHLSTER W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  270. [KLU 05] KLUGE W., Abstract Computing Machines: A Lambda Calculus Perspective, Springer-Verlag, Berlin/Heidelberg, 2005.
  271. [KNI 99] KNIGHT K., A Statistical MT Tutorial Workbook, prepared in connection with the JHU summer workshop, available at: http://www.isi.edu/natural-language/mt/wkbk.rtf, April 30, 1999.
  272. [KOE 05] KOEHN P., “Europarl: a parallel corpus for statistical machine translation”, The Tenth Machine Translation Summit, Phuket, Thailand, 12–16 September 2005.
  273. [KOH 97] KOHONEN T., Self-Organizing Maps, 2nd extended edition, Springer, 1997.
  274. [KOH 99] KOHAVI R., QUINLAN R.J., “Decision tree discovery”, in KLOSGEN W., ZYTKOW J.M. (eds), Handbook of Data Mining and Knowledge Discovery, Oxford University Press, Oxford, 1999.
  275. [KOW 11] KOWALSKY G., Information Retrieval Architecture and Algorithms, Springer, New York, 2011.
  276. [KRA 00] KRAHMER E., PIWEK P., Varieties of Anaphora, 12th ESSLLI Summer School, Birmingham, 2000, available at: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.4525, 2000.
  277. [KRE 97] KRENN B., SAMUELSSON C., Statistical Methods in Computational Linguistics, Esslli Summerschool, Aix-en-Provence, 1997.
  278. [KUR 01] KURDI M.-Z., “A spoken language understanding approach which combines the parsing robustness with the interpretation deepness”, The International Conference on Artificial Intelligence IC-AI01, Las Vegas, NV, 25–28 June 2001.
  279. [KUR 02] KURDI M.-Z., AHAFHAF M., “Toward an objective and generic method for spoken language understanding systems evaluation: an extension of the DCR method”, Third International Conference on Language Resources and Evaluation LREC02, Las Palmas, 2002.
  280. [KUR 11] KURDI M.-Z., “Personalized language learning through adaptive Computer software: application to French”, International Conference for Computer Applications ICCA 2011, Riyadh, Saudi Arabia, 31 May–2 June 2011.
  281. [KUR 16] KURDI M.-Z., Natural Language Processing and Computational Linguistics: Speech, Morphology and Syntax, ISTE Ltd, London and John Wiley & Sons, New York, 2016.
  282. [KWA 08] KWAK S., AOYAMA T., Coreference resolution with decision tree, Technical report CS224N, Final Project Stanford University, Spring 2008.
  283. [LAB 04] LABELLE F., “La logique des langues naturelles, Cours de sémantique”, University of Quebec, available at: www.ens.uqac.ca/~flabelle/semantique/, 2004.
  284. [LAC 97] LACHENAUD G., “Discours et récit chez les historiens grecs : l’apport des théories de Benveniste”, Linx [E-book], published 3 July 2012, accessed 9 May 2015, available at: http://linx.revues.org/1040, 9 | 1997. doi: 10.4000/linx.1040.
  285. [LAF 94] LAFOURCADE M., Génie Logiciel pour le Génie Linguiciel, PhD Thesis, Joseph Fourier University, 1994.
  286. [LAK 80] LAKOFF G., JOHNSON M., Metaphors We Live By, University of Chicago, Chicago, IL, 1980.
  287. [LAK 87] LAKOFF G., Women, Fire, and Dangerous Things: What Categories Reveal About the Mind, University of Chicago Press, Chicago, 1987.
  288. [LAK 89] LAKOFF G., TURNER M., More than Cool Reason: A Field Guide to Poetic Metaphor, Chicago University Press, Chicago, 1989.
  289. [LAN 87] LANGACKER R.W., Foundations of Cognitive Grammar, vol. 1, Theoretical Prerequisites, Stanford University Press, Stanford, 1987.
  290. [LAN 97] LANDAUER T.K., DUMAIS S.T., “A solution to Plato’s problem: the latent semantic analysis theory of the acquisition, induction, and representation of knowledge”, Psychological Review, vol. 104, pp. 211–240, 1997.
  291. [LAN 98] LANDAUER T.K., FOLTZ P.W., LAHAM D., “Introduction to latent semantic analysis”, Discourse Processes, vol. 25, pp. 259–284, available at: http://lsa.colorado.edu/, 1998.
  292. [LAN 05] LAN M., TAN C.L., LOW H.B. et al., “A comprehensive comparative study on term weighting schemes for text categorization with support vector machines”, 14th International World Wide Web Conference, Chiba, Japan, 10–14 May 2005.
  293. [LAU 99] LAURENCE S., MARGOLIS E., “Concepts and cognitive science”, in MARGOLIS E., LAURENCE S. (eds), Concepts: Core Readings, MIT Press, Cambridge, 1999.
  294. [LEC 06] LECHNER W., “Introduction to formal semantics”, available at: http://vivaldi.sfs.nphil.uni-tuebingen.de/%7Ennsle01/Introsem.htm, 2006.
  295. [LEI 03] LEIDNER J.L., “Current issues in software engineering for natural language processing”, Proceedings of the HLT-NAACL Workshop on Software Engineering and Architecture of Language Technology Systems, vol. 8, 2003.
  296. [LET 04] LETE B., SPRENGER-CHAROLLES L., COLE P., “MANULEX: a grade-level lexical database from French elementary-school readers”, Behavior Research Methods, Instruments & Computers, vol. 36, pp. 156–166, 2004.
  297. [LEV 04] LEVOW G.-A., “Prosodic cues to discourse segment boundaries in human-computer dialogue”, The 5th SIGdial Workshop on Discourse and Dialogue, Boston, MA, 30 April and 1 May, 2004.
  298. [LEW 70] LEWIS D., “General semantics”, Synthese, vol. 22, pp. 18–67, 1970.
  299. [LEW 72] LEWIS D., “General semantics”, in DAVIDSON D., HARMAN G. (eds), Semantics of Natural Language, D. Reidel Publishing Company, Dordrecht, 1972.
  300. [LEW 05] LEWIS W.E., Software Testing and Continuous Quality Improvement, Auerbach Publications, New York, 2005.
  301. [LIU 11] LIU B., Web Data Mining Exploring Hyperlinks, Hyperlinks, Contents and Usage Data, 2nd ed., Springer, 2011.
  302. [LLO 82] LLOYD S.P., “Least squares quantization in PCM”, IEEE Transactions on Information Theory, vol. 28, no. 2, pp. 129–137, 1982.
  303. [LOC 98] LOCHBAUM K., “A collaborative planning model of intentional structure”, Computational Linguistics, vol. 24, no. 4, pp. 525–572, 1998.
  304. [LOD 02] LODHI H., SAUNDERS C., SHAWE-TAYLOR J. et al., “Text classification using string kernels”, Journal of Machine Learning Research, vol. 2, pp. 419–444, available at: http://www.jmlr.org/papers/volume2/lodhi02a/lodhi02a.pdf, 2002.
  305. [LOP 08] LOPEZ A., “Statistical machine translation”, ACM Computing Surveys (CSUR), vol. 40, no. 3, p. 8, 2008.
  306. [LÖV 12] LÖVEHEIM H., “A new three-dimensional model for emotions and monoamine neurotransmitters”, Med Hypotheses, vol. 78, no. 2, pp. 341–348, 2012.
  307. [LUT 06] LUTZ M., Programming Python, 3rd ed., O’Reilly, 2006.
  308. [LUZ 95] LUZZATTI D., Le dialogue verbal homme-machine : étude de cas, Masson, Paris, 1995.
  309. [LYC 00] LYCAN W., Philosophy of Language: A Contemporary Introduction, Routledge, London, 2000.
  310. [LYO 66] LYONS J., “Towards a ‘notional’ theory of the ‘parts of speech’”, Journal of Linguistics, vol. 2, pp. 209–236, 1966.
  311. [MAC 81] MACKENZIE J.L., “Pedagogically relevant aspects of case grammar”, in JAMES A., WESTNEY P. (eds), New Linguistic Impulses in Foreign Language Teaching, Gunter Narr Verlag, Tubingen, 1981.
  312. [MAE 03] MAEDCH A.D., Ontology Learning for the Semantic Web, Kluwer Academic Publishers, Norwell, 2003.
  313. [MAH 95] MAHESH K., Syntax semantic interaction in sentence understanding, PhD Dissertation, Georgia Institute of Technology, 1995.
  314. [MAL 06] MALIOUTOV I., BARZILAY R., “Minimum cut model for spoken lecture segmentation”, Proceedings of ACL, pp. 25–32, 2006.
  315. [MAN 57] MANDELBROT B., Étude de la loi d’Estoup et de Zipf : fréquences des mots dans le discours, dans Logique, langage et théorie de l’information, PUF, Paris, 1957.
  316. [MAN 84] MANDLER J.M., Stories, Scripts, and Scenes: Aspects of Schema Theory, Lawrence Erlbaum Associates, Hillsdale, 1984.
  317. [MAN 88] MANN W.C., THOMPSON S.A., “Rhetorical structure theory: toward a functional theory of text organization”, Text, vol. 8, no. 3, pp. 243–281, 1988.
  318. [MAN 06] MANGEOT M., “Papillon project: retrospective and perspectives”, in ZWEIGENBAUM P. (ed.), Proceedings of Acquiring and Representing Multilingual, Specialized Lexicons: the Case of Biomedicine, LREC workshop, Genoa, Italy, 22 May, 2006.
  319. [MAN 08] MANNING C.D., RAGHAVAN P., SCHÜTZE H., An Introduction to Information Retrieval, Cambridge University Press, Cambridge, 2008.
  320. [MAN 12] MANN W.C., TABOADA M., “Introduction à la théorie de la structure rhétorique”, Simon Fraser University, available at: http://www.sfu.ca/rst/07french/index.html, 2012.
  321. [MAN 14] MANOOCHEHRI M., Data Just Right: Introduction to Large Scale Data and Analytics, Addison Wesley, Upper Saddle River, 2014.
  322. [MAR 70] MARTINET A., Eléments de linguistique générale, Armand Colin, Paris, 1970.
  323. [MAR 91] MARTIN R., “Typicalité et sens des mots”, in DUBOIS D. (ed.), Sémantique et cognition : catégories, prototypes, typicalité, Éditions du CNF, Paris, 1991.
  324. [MAR 00] MARCU D., “The rhetorical parsing of unrestricted texts: a surface-based approach”, Computational Linguistics, vol. 26, pp. 395–448, 2000.
  325. [MAR 01] MARTIN J.R., “Cohesion and texture”, in SCHIFFRIN D., TANNEN D., HAMILTON H. (eds), The Handbook of Discourse Analysis, Blackwell, Malden, 2001.
  326. [MAS 03] MASOLO C., BORGO S., GANGEMI A. et al., “WonderWeb Deliverable D17: The WonderWeb Library of Foundational Ontologies Preliminary Report”, Intermediate Report, Version 2.1, ISTC-CNR, available at: http://www.loa.istc.cnr.it/old/Papers/DOLCE2.1-FOL.pdf, 2003.
  327. [MAS 07] MASCARDI V., ROSSO P., CORDI V., “Enhancing communication inside multi-agent systems: an approach based on alignment via upper ontologies”, Proc. Int’l Workshop Agents, Web-Services and Ontologies: Integrated Methodologies, 2007.
  328. [MAU 08] MAUREL D., “Prolexbase: a multilingual relational lexical database of proper names”, Proceedings of the Language Resources and Evaluation conference (LREC), Marrakech, 28–30 May 2008.
  329. [MCC 76] MCCAWLEY J., Grammar and Meaning, Academic Press, New York, 1976.
  330. [MCC 95] MCCARTHY J.F., LEHNERT W.G, “Decision trees for coreference resolution”, The Fourteenth International Conference on Artificial Intelligence IJCAI, pp. 1050–1055, 1995.
  331. [MCE 96] MCENERY T., WILSON A., Corpus Linguistics, Edinburgh University Press, Edinburgh, 1996.
  332. [MEG 03] MEGERDOOMIAN K., “Text mining, corpus building and testing”, in FARGHALI A. (ed.), Handbook for Language Engineers, Center for the Study of Language and Information, Stanford, 2003.
  333. [MEL 84] MEL’CUK I., ARBATCHEWSKY-JUMARIE N., ELNITSKY L. et al., Dictionnaire explicatif et combinatoire du français contemporain : Recherches lexicosémantiques I, PUM, Montreal, 1984.
  334. [MEL 97] MEL’CUK I., Vers une linguistique Sens-Texte, Leçon inaugurale, Collège de France, Paris, 1997.
  335. [MEL 98] MEL’CUK I., “The meaning-text approach to the study of natural language and linguistic functional models”, in EMBLETON S. (ed.), LACUS Forum 24, LACUS, Chapel Hill, pp. 3–20, 1998.
  336. [MEL 99a] MELAMED I.D., “Bitext maps and alignments via pattern recognition”, Computational Linguistics, vol. 25, no. 1, pp. 107–130, 1999.
  337. [MEL 99b] MELBY A.K., “SALT: standards-based access service to multilingual lexicons and terminologies”, available at: http://www.ttt.org, 1999.
  338. [MER 03] MERTZ D., Text Processing in Python, Addison Wesley, Boston, 2003.
  339. [MET 05] METZNER C., CORTEZ L., CHACÍN D., “Using a blackboard architecture in a web application”, Issues in Informing Science and Information Technology IISIT, vol. 2, 2005.
  340. [MEY 04] MEYER C., English Corpus Linguistics: An Introduction, Cambridge University Press, Cambridge, 2004.
  341. [MIC 89] MICHAELSON G., Introduction to Functional Programming Through Lambda Calculus, Addison Wesley, 1989.
  342. [MIC 91] MICHIELS A., Traitement du langage naturel et Prolog : une introduction, Hermes, Paris, 1991.
  343. [MIC 01] MICHARD A., XML : langage et application, Eyrolles, Paris, 2001.
  344. [MID 03] MIDGLEY T.D., “Discourse chunking a tool in dialogue act tagging”, The 41st Annual Meeting on Association for Computational Linguistics ACL ‘03, Sapporo, Japan, 2003.
  345. [MIK 13] MIKOLOV T., CHEN K., CORRADO G. et al., “Efficient estimation of word representations in vector space”, arXiv:1301.3781, available at: https://arxiv.org/abs/1301.3781, 2013.
  346. [MIL 90] MILLER G.A., BECKWITH R., FELLBAUM C. et al., “Introduction to WordNet: an online lexical database”, International Journal of Lexicography, vol. 3, no. 4, pp. 235–244, 1990.
  347. [MIL 00] MILTSAKAKI E., KUKICH K., “The role of centering theory’s rough-shift in the teaching and evaluation of writing skills”, The 38th Annual Meeting on Association for Computational Linguistics, pp. 408–4150, 2000.
  348. [MIL 03] MILLER T., “Essay assessment with latent semantic analysis”, Journal of Educational Computing Research, vol. 29, no. 4, pp. 495–512, 2003.
  349. [MIL 04] MILTSAKAKI E., PRASAD R., JOSHI A. et al., “The Penn discourse treebank”, Proceedings of the NAACL/HLT Workshop on Frontiers in Corpus Annotation, 2004.
  350. [MIN 75] MINSKY M., “A framework for representing knowledge”, in WINSTON P. (ed.), The Psychology of Computer Vision, McGraw-Hill, New York, 1975.
  351. [MIN 88] MINSKY N.H., Law-governed systems, Report, Recherche de l’Université de Rutgers, February, 1988.
  352. [MIN 95] MINKER W., An English version of LIMSI L’ATIS system, Technical report, Laboratoire LIMSI no. 95-12, 1995.
  353. [MIN 96] MINKER W., BENNACEF S., “Compréhension et évaluation dans le domaine ATIS”, Journée Francophone JEP96, 1996.
  354. [MIN 07] MINSKY M., The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind, Simon & Schuster, 2007.
  355. [MIT 76] MITTERAND H., Les mots français, PUF, Paris, 1976.
  356. [MIT 94] MITCHELL M., KIM G., MARCINKIEWICZ M.A. et al., “The Penn treebank: annotating predicate argument structure”, Proceedings of the Human Language Technology Workshop, San Francisco, CA, March, 1994.
  357. [MIT 97] MITKOV R., “Two engines are better than one: generating more power and confidence in the search for the antecedent”, in MITKOV R., NICOLOV N. (eds), Recent Advances in Natural Language Processing, John Benjamin Publishers, Philadelphia, 1997.
  358. [MIT 98] MITKOV R., “Anaphora resolution: the state of the art”, COLING’98/ACL’98 Tutorial on Anaphora Resolution, 1998.
  359. [MON 70] MONTAGUE R., “English as a Formal Language”, in VISENTINI B. (ed.), Linguaggi nella società e nella tecnica, Mailand, 1970.
  360. [MON 73] MONTAGUE R., “The proper treatment of quantification in ordinary English”, in HINTIKKA J., MORAVCSIK J., SUPPES P. (eds), Approaches to Natural Language, Reidel, Dordrecht, 1973.
  361. [MON 00] MONTES-Y-GÓMEZ M., LÓPEZ-LÓPEZ M.A., GELBUKH A., “Information retrieval with conceptual graph matching”, DEXA’00 Proceedings of the 11th International Conference on Database and Expert Systems Applications, London, 2000.
  362. [MOO 93] MOORE J., PARIS C., “Planning text for advisory dialogues: capturing intentional and rhetorical information”, Computational Linguistics, vol. 19, no. 4, pp. 651–695, 1993.
  363. [MOO 02] MOORE R.C., “Fast and accurate sentence alignment of bilingual corpora”, Machine Translation: From Research to Real Users, 5th Conference of the Association for Machine Translation in the Americas, Springer-Verlag, Heidelberg, Germany, pp. 135–244, 2002.
  364. [MÜL 00] MÜLLER S., KASPER W., “HPSG analysis of German”, in WAHLSTER W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  365. [MYE 00] MYERS K., KEARNS M.J., SINGH S.P. et al., “A boosting approach to topic spotting on subdialogues”, Proceedings of the Seventeenth International Conference on Machine Learning ICML’00, 2000.
  366. [NAD 06] NADEAU D., TURNEY P., MATWIN S., “Unsupervised named entity recognition: generating gazetteers and resolving ambiguity”, The 19th Canadian Conference on Artificial Intelligence, Quebec City, Quebec, Canada, 7–9 June 2006.
  367. [NAD 07] NADEAU D., SEKINE S., “A survey of named entity recognition and classification”, Lingvisticæ Investigationes, vol. 30, no. 1, pp. 3–26, available at: http://brown.cl.uniheidelberg.de/~sourjiko/NER_Literatur/survey.pdf, 2007.
  368. [NAG 84] NAGAO M., “A framework of a mechanical translation between Japanese and English by analogy principle”, in ELITHORN A., BANERJI R. (eds), Artificial and Human Intelligence, Elsevier Science Publishers, available at: http://www.mt-archive.info/Nagao-1984.pdf, 1984.
  369. [NAN 04] NANAS N., UREN V., DE ROECK A., “A comparative study of term weighting methods for information filtering”, in GALINDO F., TAKIZAWA M., TRAUNMÜLLER R. (eds), Proceedings of the 15th International Workshop on Database and Expert Systems Applications, IEEE Computer Society, pp. 13–17, available at: http://kmi.open.ac.uk/publications/papers/kmi-tr-128.pdf, 2004.
  370. [NAS 90] NASRI M.-K., Architecture du système de reconnaissance automatique de la parole DIRA, PhD Thesis, National Polytechnic Institute of Grenoble, 1990.
  371. [NES 05] NESSELHAUF N., Collocations in a Learner Corpus, John Benjamins Publishing Company, 2005.
  372. [NEW 01] NEW B., PALLIER C., FERRAND L. et al., “Une base de données lexicales du français contemporain sur Internet : LEXIQUE”, L’Année Psychologique, vol. 101, pp. 447–462, 2001.
  373. [NEW 04] NEW B., PALLIER C., BRYSBAERT M. et al., “Lexique 2: a new French lexical database”, Behavior Research Methods, Instruments, & Computers, vol. 36, no. 3, pp. 516–524, 2004.
  374. [NEW 06] NEW B., “Lexique 3 : une nouvelle base de données lexicales”, Actes de la Conférence Traitement Automatique des Langues Naturelles (TALN 2006), Louvain, Belgium, April, 2006.
  375. [NIL 03] NILES I., PEASE A., “Linking lexicons and ontologies: mapping WordNet to the suggested upper merged ontology”, Proceedings of the IEEE International Conference on Information and Knowledge Engineering, pp. 412–416, 2003.
  376. [OCH 12] OCHS M., SADEK D., PELACHAUD C., “A formal model of emotions for an empathic rational dialog agent”, Autonomous Agents and Multi-Agent Systems Archive, vol. 24, no. 3, pp. 410–440, 2012.
  377. [ODO 08] O’DONNELL M., “Demonstration of the UAM CorpusTool for text and image annotation”, Proceedings of the ACL-08:HLT Demo Session (CompanionVolume), Columbus, OH, Association for Computational Linguistics, pp. 13–16, June 2008.
  378. [OGD 23] OGDEN C.K., RICHARD I.A., The Meaning of Meaning, Routledge and Kegan Paul, London, 1923.
  379. [OLM 08] OLMOS ALBACETE R., LEON J.A., JORGE-BOTANA G., “Using latent semantic analysis vs. human judgements assessing short summaries in expository texts”, available at: http://www.researchgate.net/publication/267836513_Using_Latent_Semantic_Analysis_vs._Human_Judgements_assessing_short_summaries_in_expository_texts, 2008.
  380. [ONO 94] ONO K., SUMITA K., MIIKE S., “Abstract generation based on rhetorical structure extraction”, Proceedings, 15th International Conference on Computational Linguistics COLING, Kyoto, Japan, pp. 344–348, 5–9 August 1994.
  381. [ORT 87] ORTONY A., CLORE G.L., FOSS M.A., “The psychological foundations of the affective lexicon”, Journal of Personality and Social Psychology, vol. 53, pp. 751–766, 1987.
  382. [ORT 88] ORTONY A., CLORE G.L., COLLINS A., The Cognitive Structure of Emotions, Cambridge University Press, Cambridge, 1988.
  383. [OSG 57] OSGOOD C.E., SUCI G., TANNENBAUM P., The Measurement of Meaning, University of Illinois Press, Urbana, 1957.
  384. [OSG 75] OSGOOD C.E., MAY W.H., MIRON M.S., Cross-Cultural Universals of Affective Meaning, University of Illinois Press, Urbana, 1975.
  385. [OUN 98] OUNIS I., Un modèle d’indexation relationnel pour les graphes conceptuels fondé sur une interprétation logique, PhD Thesis, Joseph Fourier University, Grenoble, 1998.
  386. [PAC 91] PACHERIE E., “Aristote et Rosch un air de famille ?”, in DUBOIS D. (ed.), Sémantique et cognition : catégories, prototypes, typicalité, Éditions du CNF, Paris, 1991.
  387. [PAK 12] PAK A., Automatic, adaptive, and applicative sentiment analysis, PhD Thesis, University of Paris-Sud, available at: https://tel.archives-ouvertes.fr/tel-00717329/document, 2012.
  388. [PAL 05] PALMER M., DANIEL G., KINGSBURY P., “The proposition bank: an annotated corpus of semantic roles”, Computational Linguistics, vol. 31, no. 1, pp. 71–106, 2005.
  389. [PAL 10] PALMER M., XUE N., “Linguistic annotation”, in CLARK A., FOX C., LAPPIN S. (eds), The Handbook of Computational Linguistics and Natural Language Processing, Wiley-Balckwell, Malden, 2010.
  390. [PAN 08] PANG B., LEE L., “Opinion mining and sentiment analysis”, Foundations and Trends in Information Retrieval, vol. 2, nos. 1–2, pp. 1–135, 2008.
  391. [PAR 02] PARTEE B., “Noun phrase interpretation and type-shifting principles”, in PORTNER P., PARTEE B. (eds), Formal Semantics: the Essential Readings, Blackwell, Oxford, 2002.
  392. [PAR 07] PAROUBEK P., CHAUDIRON S., HIRSCHMAN L., “Principles of evaluation in natural language processing”, TAL, vol. 48, no. 1, pp. 7–31, 2007.
  393. [PAS 08] PASCA M., VAN DURME B., “Weakly-supervised acquisition of open-domain classes and class attributes from web documents and query logs”, Proceedings of ACL-08: HLT, pp. 19–27, 2008.
  394. [PAT 93] PATRY R., “L’analyse du niveau discursive en linguistique”, in NESPOULOUS J.-L. (ed.), Tendances actuelles en linguistique générale, Delachaux et Niestlée, Paris, 1993.
  395. [PAU 99] PAUL M., KYAMAMOTO A., SUMITA E., “Corpus-based anaphora resolution towards antecedent preference”, The Workshop on Coreference and its Applications, pp. 47–52, 1999.
  396. [PEA 02] PEASE A., NILES I., LI J., The suggested upper merged ontology: a large ontology for the semantic web and its applications, AAAI Technical Report WS-02-11, 2002.
  397. [PEA 09] PEASE A., “Standard upper ontology knowledge interchange format”, available at: http://sigmakee.cvs.sourceforge.net/*checkout*/sigmakee/sigma/suo-kif.pdf, 2009.
  398. [PEE 99] PEEREMAN R., CONTENT A., “Lexop: a lexical database with orthography-phonology statistics for French monosyllabic words”, Behavior Research Methods, Instruments, & Computers, vol. 31, no. 2, pp. 376–379, 1999.
  399. [PEL 00] PELLOM B., WARD W., PRADHAN S., “The CU communicator: an architecture for dialogue systems”, International Conference on Spoken Language Processing (ICSLP’00), Beijing, China, November, 2000.
  400. [PEL 01] PELLOM B., WARD W., HANSEN J. et al., “University of Colorado Dialog Systems for travel and navigation”, Human Language Technology Conference (HLT-2001), San Diego, CA, March 2001.
  401. [PER 87] PEREIRA F., SHIEBER S., Prolog and Natural Language Analysis, CSLI, Stanford, CA, 1987.
  402. [PER 94] PERAKATH C.B., MENZEL C.P., MAYER R.J. et al., The IDEF5 Ontology Description Capture Method Overview, Knowledge Based Systems, 1994.
  403. [PER 97] PERRAMOND D.B., Composition et grammaire de texte, Canadian Scholar’s Press, Toronto, 1997.
  404. [PIC 77] PICOCHE J., Précis de lexicologie française, Nathan, Paris, 1977.
  405. [PIC 86] PICOCHE J., Structures sémantiques du lexique français, Nathan, Paris, 1986.
  406. [PLU 01] PLUTCHIK R., “The nature of emotions”, American Scientist, vol. 89, no. 4, pp. 344–350, 2001.
  407. [POE 98] POESIO M., RENATA V., “A corpus-based investigation of definite description use”, Computational Linguistics, vol. 24, no. 2, pp. 183–216, 1998.
  408. [POE 99] POESIO M., HENSCHEL R., HITZEMAN J. et al., “Towards an annotation scheme for noun phrase generation”, Proceedings of the EACL Workshop on Linguistically Interpreted Corpora, Bergen, June, 1999.
  409. [POE 04a] POESIO M., “Discourse annotation and semantic annotation in the GNOME corpus”, Proceedings of the ACL Workshop on Discourse Annotation, pp. 72–79, 2004.
  410. [POE 04b] POESIO M., “The MATE/GNOME Scheme for Anaphoric Annotation”, Proceedings of SIGDIAL, Boston, MA, April 2004.
  411. [POL 98] POLGUERE A., “La théorie Sens-Texte”, Dialangue, vols. 8–9, Université du Québec à Chicoutimi, pp. 9–30, 1998.
  412. [POL 00] POLGUERE A., “Towards a theoretically-motivated general public dictionary of semantic derivations and collocations for French”, Proceeding of EURALEX’2000, Stuttgart, pp. 517—527, 2000.
  413. [POL 01] POLANYI L., “The linguistic structure of discourse”, in ScHIFFRIN D., TANNEN D., HAMILTON H.E. (eds), The Handbook of Discourse Analysis, Blackwell, Oxford, 2001.
  414. [POL 04a] POLANYI L., CULY C., VAN DEN BERG M. et al., “A rule-based approach to discourse parsing”, Proceedings of the 5th SIGdial Workshop on Discourse and Dialogue, ACL, Stroudsburg, PA, 2004.
  415. [POL 04b] POLANYI L., CULY C., VAN DEN BERG M. et al., “Sentential structure and discourse parsing”, The ACL Workshop on Discourse Annotation, Barcelona, Spain, 2004.
  416. [POL 04c] POLANYI L., ZAENEN A., “Contextual valence shifters”, AAAI Spring Symposium on Attitude, Stanford, CA, p. 10, 2004.
  417. [POT 64] POTTIER B., “Vers une sémantique moderne”, Travaux de linguistique et de littérature, vol. 2, pp. 107–138, 1964.
  418. [POW 03] POWERS S., Practical RDF, O’Reilly, Cambridge, 2003.
  419. [PRI 81] PRINCE E.F., “Toward a taxonomy of given new information”, in PRINCE E.F. (ed.), Syntax and Semantics: Vol. 14. Radical Pragmatics, Academic Press, New York, 1981.
  420. [PRI 92] PRINCE E.F., “The ZPG letter subjects deniteness and information status”, in THOMPSON S., MANN W. (eds), Discourse Description Diverse Analyses of a Fundraising Text, John Benjamins, 1992.
  421. [PRI 94a] PRIGENT G., “Synchronous TAGs and machine translation”, Proceedings of the Third International TAG Workshop, Paris, 1994.
  422. [PRI 94b] PRINCE E.F., “The notion of construction and the syntax discourse interface”, The 25th Annual Meeting of the North East Linguistic Society, University of Pennsylvania, 1994.
  423. [PUS 91] PUSTEJOVSKY J., “The generative lexicon”, Computational Linguistics, vol. 17, no. 4, pp. 409–441, 1991.
  424. [PUS 93] PUSTEJOVSKY J., BOGURAEV B., “Lexical knowledge representation and natural language processing”, Artificial Intelligence, vol. 63, pp. 193–223, 1993.
  425. [PUS 95] PUSTEJOVSKY J., The Generative Lexicon, MIT Press, Cambridge, 1995.
  426. [PUS 03] PUSTEJOVSKY J., HANKS P., SAURI R. et al., “The TimeBank corpus”, Corpus Linguistics, pp. 647–656, 2003.
  427. [PUS 12] PUSTEJOVSKY J., STUBBS A., Natural Language Annotation for Machine Learning, O’Reily, Sebastopol, CA, 2012.
  428. [QUI 68] QUILLIAN M.R., “Semantic memory”, in MINSKY M. (ed.), Semantic Information Processing, MIT Press, Cambridge, 1968.
  429. [QUI 79] QUINLAN J.R., “Discovering rules from large collections of examples: a case study”, in MICHIE D. (ed.), Expert Systems in the Micro Electronic Age, Edinburgh University Press, Edinburgh, 1979.
  430. [QUI 93] QUINLAN J.R., C4.5: Programs for Machine Learning, Morgan Kaufmann, San Mateo, 1993.
  431. [RAB 10] RABATEL A., “Retour sur les relations entre locuteur et énonciateur : Des voix et des points de vue”, in COLAS-BLAISE M., KARA M., PERRIN L. et al. (eds), La question polyphonique ou dialogique dans les sciences du langage, CELTED, University of Metz, 2010.
  432. [RAJ 16] RAJENDRAN P., BOLLEGALA D., PARSONS S., “Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews”, Proceedings of the 3rd Workshop on Argument Mining, Berlin, Germany. Association for Computational Linguistics, pp. 31–39, available at: https://aclweb.org/anthology/W/W16/W16-2804.pdf, 7–12 August 2016.
  433. [RAS 73] RASTIER F., Essais de sémiotique discursive, Mame, Paris, E-book available at: http://www.revue-texto.net/Parutions/Essais-de-semiotique/Rastier_essais_de_semiotique.html, 1973.
  434. [RAS 89] RASTIER F., Sens et textualité, Hachette, Paris, 1989.
  435. [RAS 90] RASTIER F., “La triade sémiotique, le trivium et la sémiotique linguistique”, Nouveaux actes sémiotiques, no. 9, pp. 5–39, 1990.
  436. [RAS 91a] RASTIER F., “Catégorisation, typicalité et lexicologie”, in DUBOIS D. (ed.), Sémantique et cognition : catégories, prototypes, typicalité, Éditions du CNF, Paris, 1991.
  437. [RAS 91b] RASTIER F., Sémantique et recherches cognitives, PUF, Paris, 1991.
  438. [RAS 94] RASTIER F., Sémantique pour l’analyse, Masson, Paris, 1994.
  439. [RAS 01] RASTIER F., Arts et sciences du texte, PUF, Paris, 2001.
  440. [RAS 02] RASTIER F., “La macrosémantique”, Texto !, available at: http://www.revuetexto.net/Inedits/Rastier/Rastier_Marcosemantique1.html, June 2002.
  441. [RAS 05a] RASTIER F., “La microsémantique”, Texto !, vol. X, no. 2, available at: http://www.revue-texto.net/Inedits/Rastier/Rastier_Microsemantique.html, June 2005.
  442. [RAS 05b] RASTIER F., “Mésosémantique et syntaxe”, Texto ! [e-book], available at: http://www.revue-texto.net/Inedits/Rastier/Rastier_Mesosemantique.html, September 2005.
  443. [RAY 83] RAYNER K., CARLSON M., FRANSIER L., “The interaction of syntax-semantics during sentence processing: eye movement in the analysis of sentence analysis”, Journal of Verbal learning and Verbal Behavior, vol. 22, pp. 358–374, 1983.
  444. [RAY 92] RAYNER K., GARROD S., PERFETTI C.A., “Discourse influences during parsing are delayed”, Cognition, vol. 45, pp. 109–139, 1992.
  445. [RAY 03] RAY E., Learning XML, 2nd ed., O’Reilly, 2003.
  446. [RES 10] RESNIK P., LIN J., “Evaluation of NLP systems, in Alexander CLARK”, in FOX C., LAPPIN S. (eds), The Handbook of Computational Linguistics and Natural Language Processing, Wiley-Balckwell, Malden, 2010.
  447. [RIG 99] RIGAU I., CLARAMUNT G., Ontologies, Automatic Acquisition of Lexical Knowledge from MRDS, Politécnica de Catalunya, 1999.
  448. [RIL 06] RILOFF E., PATWARDHAN S., WIEBE J., “Feature subsumption for opinion analysis”, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-06), 2006.
  449. [RIT 12] RITTER A., SAM M., ETZIONI O. et al., “Open domain event extraction from Twitter”, The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1104–1112, 2012.
  450. [RIV 11] RIVIÈRE J., ADAM C., PESTY S. et al., “Expressive multimodal conversational acts for SAIBA agents”, Intelligent Virtual Agents, Reykjavik, Iceland, Lecture Notes in Computer Science, Springer, 6895, pp. 316–323, 2011.
  451. [ROB 67] ROBERT P., REY A., REY-DEBOVE J. et al., Le Petit Robert : dictionnaire de la langue française, 2nd ed., Société du nouveau Littré/Le Robert, Paris, 1967.
  452. [ROB 76] ROBERTSON S.E., SPÄRCK JONES K., “Relevance weighting of search terms”, Journal of the American Society for Information Science, vol. 27, no. 3, pp. 129–146, 1976.
  453. [ROB 04] ROBERTSON S.E., “Understanding inverse document frequency: on theoretical arguments for IDF”, Journal of Documentation, vol. 60, no. 5, pp. 503–520, 2004.
  454. [ROJ 98] ROJAS R., A Tutorial Introduction to the Lambda Calculus, FU Berlin, WS-97/98, available at: www.utdallas.edu/~gupta/courses/apl/lambda.pdf, 1998.
  455. [ROS 73] ROSCH E., “Natural categories”, Cognitive Psychology, vol. 4, pp. 328–350, 1973.
  456. [ROS 75a] ROSCH E., MERVIS C.B., “Family resemblances: studies in the internal structure of categories”, Cognitive Psychology, vol. 7, pp. 573–605, 1975.
  457. [ROS 75b] ROSCH E., “Cognitive representations of semantic categories”, Journal of Experimental Psychology: General, vol. 104, pp. 192–233, 1975.
  458. [ROS 76] ROSCH E., MERVIS C.B., GRAY W. et al., “Basic objects in natural categories”, Cognitive Psychology, vol. 8, pp. 382–439, 1976.
  459. [ROS 78] ROSCH E., “Principles of categorization”, in ROSCH E., LLOYD B.B. (eds), Cognition and Categorization, Erlbaum, Hillsdale, 1978.
  460. [ROS 06] ROSELL M., Introduction to Information Retrieval And Text Clustering, KTH CSC, August, 2006.
  461. [ROU 00] ROUILLARD J., Hyperdialogue sur Internet : Le système HALPIN, PhD Thesis, University of Grenoble I, 2000.
  462. [RUL 00] RULAND T., “Probabilistic LR-parsing with symbolic postprocessing”, in WAHLSTER W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  463. [RUM 05] RUMBAUGH J., JACOBSON I., BOOCH G., The Unified Modeling Language Reference Manual, 2nd ed., Addison-Wesley, 2005.
  464. [RUP 00] RUPP C.J., SPIKLER J., KLARNER M. et al., “Combining analyses from various parses”, in WAHLSTER W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  465. [RUS 80] RUSSEL J., “A circumplex model of affect”, Journal of Personality and Social Psychology, vol. 39, no. 6, pp. 1161–1178, 1980.
  466. [RUS 95] RUSSEL S., NORVIG P., Artificial Intelligence: A Modern Approach, Prentice Hall, New Jersey, 1995.
  467. [RUS 14a] RUSSELL M.A., Mining the Social Web, 2nd ed., O’Reilly, Sebastopol, 2014.
  468. [RUS 14b] RUSSELL J., Agile Data Science, O’Reilly, Sebastopol, 2014.
  469. [SAB 90] SABAH G., “CARAMEL : un système multi-experts pour le traitement automatique des langues”, Modèles linguistiques, vol. 12, no. 1, pp. 95–118, 1990.
  470. [SAG 08] SAGOT B., FIŠER D., “Construction d’un wordnet libre du français à partir de ressources multilingues”, TALN 2008, Avignon, France, 2008.
  471. [SAH 96] SAHAMI M., “Learning limited dependence Bayesian classifiers”, Proceedings of KDD-96, pp. 335–338, 1996.
  472. [SAH 98a] SAHAMI M., Using machine learning to improve information access, PhD Thesis, Computer Science Department, Stanford University, 1998.
  473. [SAH 98b] SAHAMI M., DUMAIS S., HECKERMAN D. et al., “A Bayesian approach to filtering junk e-mail”, AAAI’98 Workshop on Learning for Text Categorization, Madison, WI, 27 July 1998.
  474. [SAL 83] SALTON G., MCGILL M.J., Introduction to Modern Information Retrieval, McGraw-Hill, 1983.
  475. [SAL 88] SALTON G., BUCKLEY C., “Term-weighting approaches in automatic text retrieval”, Information Studies and Management, vol. 24, no. 5, pp. 513–523, 1988.
  476. [SAL 08] SALEM A.-B.M., ALFONSE M., “Ontology versus semantic networks for medical knowledge representation”, ICCOMP’08 Proceedings of the 12th WSEAS International Conference on Computers, 2008.
  477. [SAN 94] SANDOVAL V., SGML : un outil pour la gestion électronique de documents, Hermès, Paris, 1994.
  478. [SCH 75] SCHANK R., ABELSON R., “Scripts, plans, and knowledge”, IJCAI’75 Proceedings of the 4th International Joint Conference on Artificial Intelligence, Tbilisi, Georgia, USSR, 3–8 September 1975.
  479. [SCH 77] SCHANK R., ABELSON R., Scripts, Plans, Goals and Understanding: an Inquiry into Human Knowledge Structures, Lawrence Erlbaum, Hillsdale, 1977.
  480. [SCH 84] SCHERER K.R., “Emotion as a multicomponent process: a model and some cross-cultural data”, in SHAVER P. (ed.), Review of Personality and Social Psychology, vol. 5, Sage, Beverley Hills, 1984.
  481. [SEA 69] SEARLE J., Speech Acts, Cambridge University Press, Cambridge, 1969.
  482. [SEK 07] SEKINE S., ODA A., “System demonstration of on-demand information extraction”, Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics Companion Volume: Proceedings of the Demo and Poster Sessions, pp. 17–20, 2007.
  483. [SÉR 94] SÉRASSET G., SUBLIM : un système universel de bases lexicales multilingues et NADIA : sa spécialisation aux bases lexicales interlingues par acceptions, PhD Thesis, Joseph Fourier University, Grenoble, France, 1994.
  484. [SÉR 99] SÉRASSET G., BOITET C., UNL-French Deconversion as Transfer & Generation from an Interlingua with Possible Quality Enhancement through Offline Human Interaction, MT-Summit, Singapore, pp. 220–228, 1999.
  485. [SÉR 01] SÉRASSET G., MANGEOT M., “Papillon lexical database project: monolingual dictionaries & interlingual links”, NLPRS 2001, Hitotsubashi Memorial Hall, National Center of Sciences, Tokyo, Japan, 27–30 November 2001.
  486. [SÉR 14] SÉRASSET G., “Dbnary: Wiktionary as a lemon based RDF multilingual lexical resource”, Semantic Web Journal-Special issue on Multilingual Linked Open Data, 2014.
  487. [SHA 48] SHANNON CLAUDE E., “A mathematical theory of communication”, Bell System Technical Journal, vol. 27, pp. 379–423, July and October 1948.
  488. [SHI 90] SHIEBER S., SCHABES Y., “Synchronous tree-adjoining grammars”, 13th International Conference on Computational Linguistics, vol. 3, pp. 1–6, 1990.
  489. [SHI 06] SHINYAMA Y., SEKINE S., “Preemptive information extraction using unrestricted relation discovery”, Proceedings of the Human-Language Technology Conference of the NAACL, Main Conference, pp. 304–311, 2006.
  490. [SID 79] SIDNER C.L., Toward a computational theory of definite anaphora comprehension in English discourse, PhD Dissertation, Massachusetts Institute of Technology, Cambridge, MA, 1979.
  491. [SIE 00] SIEGEL M., “HPSG analysis of English”, in WAHLSTER W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  492. [SIN 91] SINCLAIR J., Corpus, Concordance, Collocation, Oxford University Press, Oxford, 1991.
  493. [SLO 81] SLOMAN A., “Why robots will have emotions”, Proceedings International Joint Conference on Artificial Intelligence JCAI’81, 1981.
  494. [SMI 97] SMITH B., VARZI A., “Fiat and bona fide boundaries”, The Electronic Journal of Analytic Philosophy, vol. 5, no. 5, available at: http://ejap.louisiana.edu/EJAP/1997.spring/smithvarzi976.html, 1997.
  495. [SMI 04] SMITH B., GRENON P., “The cornucopia of formal-ontological relations”, Dialectica, vol. 58, no. 3, pp. 279–296, 2004.
  496. [SMI 10] SMITH C., CROOK N., BOYE J. et al., “Interaction strategies for an affective conversational agent”, 10th International Conference on Intelligent Virtual Agents, Philadelphia, PA, USA, September, 2010.
  497. [SMR 03] SMRZ P., POVOLNY M., “DEB – A Dictionary Editor and Browser, Papillon”, Proceedings of the Fourth Papillon Workshop, Hokkaido University, Sapporo, Japan, 2003.
  498. [SOD 99] SODERLAND S., “Learning information extraction rules for semi-structured and free text”, Machine Learning, vol. 34, no. 1, pp. 233–272, 1999.
  499. [SOO 01] SOON W.M., NG H.T., LIM D.C.Y., “A machine learning approach to coreference resolution of noun phrases”, Computational Linguistics, vol. 27, no. 4, pp. 521–544, 2001.
  500. [SOW 76] SOWA J.F., “Conceptual graphs for a database interface”, IBM Journal of Research and Development, vol. 20, no. 4, pp. 336–357, 1976.
  501. [SOW 83] SOWA J.F., “Generating language from conceptual graphs”, Computer and Mathematics with Applications, vol. 9, no. 1, pp. 29–43, 1983.
  502. [SOW 86] SOWA J.F., WAY E., “Implementing a semantic interpreter using conceptual graphs”, IBM Journal of Research and Development, vol. 30, no. 1, pp. 57–69, 1986.
  503. [SOW 92] SOWA J.F., “Semantic networks”, in STUART C.S. (ed.), Encyclopedia of Artificial Intelligence, 2nd ed., Wiley, 1992.
  504. [SPE 89] SPERBER D., WILSON D., La Pertinence: Communication Et Cognition, Éditions de Minuit, Paris, 1989.
  505. [SPI 93] SPIVEY-KNOWLTON M., TANENHAUS M., “Immediate effect of discourse and semantic context in syntactic processing: Evidence from eye tracking”, The Fifteenth Annual Conference of Cognitive Science Society, pp. 812–817, 1993.
  506. [SPO 05] SPORLEDER C., LAPATA M., “Discourse chunking and its application to sentence compression”, Proceedings of HLT/EMNLP, 2005.
  507. [STE 95] STEFANINI M.-H., BERRENDONNER A., LALLICH G. et al., “TALISMAN: un système multi-agents gouverné par des lois linguistiques pour le traitement de la langue naturelle”, 12th Brazilian Symposium on Artificial Intelligence SBIA, Campinas, Brazil, pp. 312–322, 1995.
  508. [STE 00] STEINBACH M., KARYPIS G., KUMAR V., “A comparison of document clustering techniques”, Workshop on Text Mining KDD 200, Boston, MA, USA, 20–23 August 2000.
  509. [STE 04] STEDE M., “The potsdam commentary corpus”, ACL Workshop on Discourse Annotation, Stroudsburg, PA, 2004.
  510. [STO 03] STONE M., “What is an agent: computational models in artificial intelligence and cognitive science”, in LEPORE J., PYLYSHYN Z. (eds), Cognitive Science, vol. 2, Blackwell, available at: http://www.cs.rutgers.edu/~mdstone/pubs/whatis.pdf, 2003.
  511. [STR 04] STRAPPARAVA C., VALITUTTI A., “WordNet-affect: an affective extension of WordNet”, Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC), Lisbon, pp. 1083–1086, May 2004.
  512. [SUN 92] SUN W. et al., “Agrep: a fast approximate pattern searching tool”, USENIX Conference, January 1992.
  513. [TET 99] TETRAULT J., “Analysis of syntax-based pronoun resolution methods”, Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics, pp. 602–605, 1999.
  514. [THI 04] THIONE G., VAN DEN BERG M., POLANYI L. et al., “Hybrid text summarization: combining external relevance measures with structural analysis”, The ACL 2004 Workshop Text Summarization Branches Out, Barcelona, Spain, 2004.
  515. [TJO 03] TJONG KIM SANG E., DE MEULDER F., “Introduction to the CoNLL-2003 shared task: language-independent named entity recognition”, Proceedings of the 7th Conference on Natural Language Learning (CoNLL-2003), pp. 142–147, 2003.
  516. [TRU 92] TRUSWELL J.C., TANENHAUS M.K., “Consulting temporal context during sentence comprehension: evidence from the monitoring of eye movements in reading”, The Fourteenth Annual Conference of Cognitive Science Society, pp. 492–497, 1992.
  517. [TRU 04] TRUSTWELL R., Attributive adjectives and the nominal they modify, Master’s Dissertation, University of Oxford, 2004.
  518. [TUF 04] TUFIS D., CRISTEA D., STAMOU S., “BalkaNet: Aims, methods, results and perspectives. A general overview.”, Romanian Journal of Information Science and Technology, vol. 7, nos. 1–2, pp. 9–43, 2004.
  519. [TUR 50] TURING A., ”Computing machinery and intelligence”, Mind, vol. LIX, no. 236, pp. 433–460, 1950. doi: 10.1093/mind/LIX.236.433.
  520. [TUR 01] TURNEY D., “Mining the web for synonyms: PMI-IR versus LSA on TOEFL”, Proceedings of the Twelfth European Conference on Machine Learning, Freiburg, Germany, pp. 491–502, 2001.
  521. [TYL 77] TYLER L.K., MARSLEN-WILSON W.D., “The on-line effects of semantic context on syntactic processing”, Journal of Verbal Learning and Verbal Behavior, vol. 16, pp. 683–692, 1977.
  522. [ULR 00] ULRICH H., RULAND T., “Integrated shallow processing”, in WAHLSTER W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  523. [UNL 96] UNL, “Universal Networking Language: an electronic language for communication”, Understanding and Collaboration, UNL Center, Tokyo, 1996.
  524. [USC 95] USCHOLD M., KING M., “Towards a methodology for building ontologies”, IJCAI-95 Workshop on Basic Ontological Issues in Knowledge Sharing, Montreal, Canada, 1995.
  525. [USC 96] USCHOLD M., GRÜNINGER M., “Ontologies: principles methods and applications”, Knowledge Engineering Review, vol. 11, no. 2, pp. 93–136, 1996.
  526. [USZ 00] USZKOREIT H., FLICKINGER D., KASPER W. et al., “Deep linguistic analysis with HPSG”, in WOLFGANG W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  527. [VAN 85] VAN DIJK T.A., “Introduction: discourse analysis as a new cross-discipline”, Journal of Discourse Analysis, vol. 1, pp. 1–10, 1985.
  528. [VAU 68] VAUQUOIS B., “A survey of formal grammars and algorithms for recognition and transformation in mechanical translation”, IFIP Congress, no. 2, pp. 1114–1122, 1968.
  529. [VAU 00] VAUFREYDAZ D., BERGAMINI C., SERIGNAT J.-F. et al., “A new methodology for speech corpora definition from internet documents”, Proceedings of the International Conference on Language Resources and Evaluation LREC`2000, 2nd International Conference on Language Resources and Evaluation, Athens, Greece, vol. 3, pp. 423–426, 2000.
  530. [VET 07] VETULANI Z., WALKOWSKA J., OBREBSKI T. et al., “PolNet – Polish WordNet project algorithm”, in VETULANI Z. (ed.), Proceedings of the 3rd Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, Poznan, Poland, Wyd. Poznanskie, Poznan, pp. 172–176, 5–7 October 2007.
  531. [VIL 04] VILLASEÑOR-PINEDA L., MONTES-Y-GÓMEZ M., CAELEN J., “A modal logic framework for human-computer spoken interaction”, in GELBUKH A. (ed.), Computational Linguistics and Intelligent Text Processing, Lecture Notes in Computer Science, vol. 2945, Springer, 2004.
  532. [VOG 12] VOGT L., GROBE P., QUAST B. et al., “Fiat or bona fide boundary: a matter of granular perspective”, PLoS ONE, vol. 7, no. 12, p. e48603, 2012. doi: 10.1371/journal.pone.0048603.
  533. [VOL 07] VOLL K., TABOADA M., “Not all words are created equal: extracting semantic orientation as a function of adjective relevance”, 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, pp. 337–346, December 2007.
  534. [VOO 05] VOORHEES E.M., HARMAN D.K. (eds), TREC: Experiment and Evaluation in Information Retrieval, MIT Press, Cambridge, 2005.
  535. [VOS 98] VOSSEN P. (ed.), EuroWordNet: A Multilingual Database with Lexical Semantic Networks, Kluwer Academic Publishers, Dordrecht, 1998.
  536. [WAH 95] WAHLSTER W., Verbmobil: Towards a DRT-based Translation of Spontaneous Negotiation Dialogs, MT Summit V, Luxembourg, 10–13 July 1995.
  537. [WAH 00a] WAHLSTER W., “Mobile speech-to-speech translation of spontaneous dialogs: an overview of the final Verbmobil system”, in WAHLSTER W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  538. [WAH 00b] WAHLSTER W. (ed.), Verbmobil: Foundations of Speech-to-Speech Translation, Springer, Berlin, 2000.
  539. [WAR 05] WARWICK C., “The British National Corpus”, available at: http://www.natcorp.ox.ac.uk/, 2005.
  540. [WEA 55] WEAVER W., Machine Translation of Languages, MIT Press, Cambridge, 1955.
  541. [WEB 10] WEBBER B., WEBB N., “Question answering”, in CLARK A., FOX C., LAPPIN S. (eds), The Handbook of Computational Linguistics and Natural Language Processing, Wiley-Balckwell, Malden, 2010.
  542. [WEB 12] WEBBER B., EGG M., KORDONI V., “Discourse structure and language technology”, Natural Language Engineering, vol. 18, no. 04, pp. 437–490, 2012.
  543. [WEI 89] WEINRICH H., Grammaire textuelle du français, Didier / Hatier, Paris, 1989.
  544. [WER 75] WERLICH E., Typologie der Texte, Quelle & Meyer, Heidelberg, 1975.
  545. [WIE 95] WIENER E., PEDERSEN J., WEIGEND A.S., “A neural net approach to topic spotting”, Fourth Annual Symposium on Document Analysis and Information Retrieval (SDAIR’95), pp. 317–332, 1995.
  546. [WIE 05] WIEBE J., THERESA-WILSON CARDIE C., “Annotating expressions of opinions and emotions in language”, Language Resources and Evaluations, vol. 39, nos. 2–3, pp. 165–210, 2005.
  547. [WIL 85] WILKS Y., BRACHMAN R., SCHMOLZE J., “An overview of the KL-ONE knowledge representation system”, Cognitive Science, vol. 9, no. 2, pp. 171–219, 1985.
  548. [WIL 06] WILSON A., ARCHER D., RAYSON P. (eds), Corpus Linguistics Around the World, Rodopi, Amsterdam 2006.
  549. [WIN 72] WINOGRAD T., Understanding Natural Language, Academic Press, New York, 1972.
  550. [WIS 16] WISEMAN S., RUSH A.M., SHIEBER S.M., “Learning global features for coreference resolution”, Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, San Diego, CA, pp. 994–1004, available at: http://www.aclweb.org/anthology/N16-1114, June 2016.
  551. [WIT 53] WITTGENSTEIN L., Investigations Philosophiques (French translation in 1961, republication in 1986), Gallimard, Paris, 1953.
  552. [WIT 05] WITTEN I.H., FRANK E., Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed., Morgan Kauffman, San Francisco, CA, 2005.
  553. [WON 09] WONG W., LIU W., BENNAMOUN M., “Acquiring semantic relations using the web for constructing lightweight ontologies”, 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 266–277, 2009.
  554. [WOO 75] WOODS W., “What’s in a link: foundations for semantic networks”, in BOBROW D., COLLINS A. (eds), Representation and Understanding: Studies in Cognitive Science, Academic Press, New York, 1975.
  555. [WOO 95] WOOLDRIDGE M., JENNINGS N.R., “Intelligent agents: theory and practice”, Knowledge Engineering Review, vol. 10, no. 2, pp. 115–152, available at: http://www.csc.liv.ac.uk/~mjw/pubs/, 1995.
  556. [XIA 01] XIA F., PALMER M., “Converting dependency structures to phrase structures”, 1st International Conference on Human-Language Technology Research, pp. 61–65, 2001.
  557. [YAN 00] YANGARBER R., GRISHMAN R., TAPANAINEN P. et al., “Automatic acquisition of domain knowledge for information extraction”, Proceedings of the 18th International Conference on Computational Linguistics COLING00, Universität des Saarlandes, Saarbrücken, Germany, 31 July–4 August 2000.
  558. [YE 14] YE M., Data Mining: Theories, Algorithms, and examples, CRC Press, Boca Raton, 2014.
  559. [ZAM 00] ZAMPARELL R., Layers in the Determiner Phrase, Garland Publishing, New York, 2000.
  560. [ZEL 03] ZELENKO D., AONE C., RICHARDELLA A., “Kernel methods for relation extraction”, Journal for Machine Learning Research, vol. 3, pp. 1083–1106, 2003.
  561. [ZHA 05] ZHAO S., GRISHMAN R., “Extracting relations with integrated information using kernel methods”, Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics ACL’05, pp. 419–426, 2005.
  562. [ZIP 49] ZIPF GEORGE K., Human Behavior and the Principle of Least Effort, Addison Wesley, New York, London, 1949.
  563. [ZOL 67] ZOLKOVSKIJ A., MEL’CUK I., “O semanticeskom sinteze [Sur la synthèse sémantique]”, Problemy kibernetiki, vol. 19, pp. 177–238 (French translation: T.A. Informations, 1970, no. 2, pp. 1–85.), 1967.
  564. [ZWE 95] ZWEIGENBAUM P., BACHIMONT B., BOUAUD J. et al., “A Multilanguage architecture for building a normalized conceptual representation from medical language”, 19th Annual SCAMC, New Orleans, 1995.
  565. [ZWE 98] ZWEIGENBAUM P., BOUAUD J., BACHIMONT B. et al., “Évaluation d’une représentation conceptuelle normalisée de comptes rendus médicaux en langue naturelle”, 11ième congrès Reconnaissances des Formes et Intelligence Artificielle, Clermont Ferrand, January 1998.
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