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by Mathilde Janier, Patrick Saint-Dizier
Argument Mining
Cover
Preface
1 Introduction and Challenges
1.1. What is argumentation?
1.2. Argumentation and argument mining
1.3. The origins of argumentation
1.4. The argumentative discourse
1.5. Contemporary trends
2 The Structure of Argumentation
2.1. The argument–conclusion pair
2.2. The elementary argumentative schema
2.3. Modeling agreement and disagreement
2.4. The structure of an argumentation: argumentation graphs
2.5. The role of argument schemes in argumentation
2.6. Relations between Toulmin’s model and argumentation schemes
3 The Linguistics of Argumentation
3.1. The structure of claims
3.2. The linguistics of justifications
3.3. Evaluating the strength of claims, justifications and arguments
3.4. Rhetoric and argumentation
4 Advanced Features of Argumentation for Argument Mining
4.1. Managing incoherent claims and justifications
4.2. Relating claims and justifications: the need for knowledge and reasoning
4.3. Argument synthesis in natural language
5 From Argumentation to Argument Mining
5.1. Some facets of argument mining
5.2. Designing annotation guidelines: some methodological elements
5.3. What results can be expected from an argument mining system?
5.4. Architecture of an argument mining system
5.5. The next chapters
6 Annotation Frameworks and Principles of Argument Analysis
6.1. Principles of argument analysis
6.2. Examples of argument analysis frameworks
6.3. Guidelines for argument analysis
6.4. Annotation tools
6.5. Argument corpora
6.6. Conclusion
7 Argument Mining Applications and Systems
7.1. Application domains for argument mining
7.2. Principles of argument mining systems
7.3. Some existing systems for argument mining
7.4. Efficiency and limitations of existing argument mining systems
7.5. Conclusion
8 A Computational Model and a Simple Grammar-Based Implementation
8.1. Identification of argumentative units
8.2. Mining for claims
8.3. Mining for supports and attacks
8.4. Evaluating strength
8.5. Epilogue
9 Non-Verbal Dimensions of Argumentation: a Challenge for Argument Mining
9.1. The text and its additions
9.2. Argumentation and visual aspects
9.3. Argumentation and sound aspects
9.4. Impact of non-verbal aspects on argument strength and on argument schemes
9.5. Ethical aspects
Bibliography
Index
End User License Agreement
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Cover
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Title Page
Table of Contents
Cover
Preface
1 Introduction and Challenges
1.1. What is argumentation?
1.2. Argumentation and argument mining
1.3. The origins of argumentation
1.4. The argumentative discourse
1.5. Contemporary trends
2 The Structure of Argumentation
2.1. The argument–conclusion pair
2.2. The elementary argumentative schema
2.3. Modeling agreement and disagreement
2.4. The structure of an argumentation: argumentation graphs
2.5. The role of argument schemes in argumentation
2.6. Relations between Toulmin’s model and argumentation schemes
3 The Linguistics of Argumentation
3.1. The structure of claims
3.2. The linguistics of justifications
3.3. Evaluating the strength of claims, justifications and arguments
3.4. Rhetoric and argumentation
4 Advanced Features of Argumentation for Argument Mining
4.1. Managing incoherent claims and justifications
4.2. Relating claims and justifications: the need for knowledge and reasoning
4.3. Argument synthesis in natural language
5 From Argumentation to Argument Mining
5.1. Some facets of argument mining
5.2. Designing annotation guidelines: some methodological elements
5.3. What results can be expected from an argument mining system?
5.4. Architecture of an argument mining system
5.5. The next chapters
6 Annotation Frameworks and Principles of Argument Analysis
6.1. Principles of argument analysis
6.2. Examples of argument analysis frameworks
6.3. Guidelines for argument analysis
6.4. Annotation tools
6.5. Argument corpora
6.6. Conclusion
7 Argument Mining Applications and Systems
7.1. Application domains for argument mining
7.2. Principles of argument mining systems
7.3. Some existing systems for argument mining
7.4. Efficiency and limitations of existing argument mining systems
7.5. Conclusion
8 A Computational Model and a Simple Grammar-Based Implementation
8.1. Identification of argumentative units
8.2. Mining for claims
8.3. Mining for supports and attacks
8.4. Evaluating strength
8.5. Epilogue
9 Non-Verbal Dimensions of Argumentation: a Challenge for Argument Mining
9.1. The text and its additions
9.2. Argumentation and visual aspects
9.3. Argumentation and sound aspects
9.4. Impact of non-verbal aspects on argument strength and on argument schemes
9.5. Ethical aspects
Bibliography
Index
End User License Agreement
List of Tables
Chapter 4
Table 4.1. Corpus characteristics
Table 4.2. Evidence for knowledge
Chapter 6
Table 6.1. Interpretation of κ results, according to [LAN 77]
List of Illustrations
Chapter 2
Figure 2.1. Basic Toulmin’s model
Figure 2.2. Comprehensive Toulmin’s model
Figure 2.3. An argumentation graph
Chapter 4
Figure 4.1. Illustration of a synthesis
Chapter 6
Figure 6.1. An argument map with Rationale. For a color version of this figure, ...
Figure 6.2. An argument diagram
Figure 6.3. An IAT argument map
Figure 6.4. An RST analysis
Figure 6.5. A manual analysis, taken from [HAB 17, p. 144]
Figure 6.6. A graphical representation following Toulmin’s model, taken from [HA...
Figure 6.7. An IAT analysis. For a color version of this figure, see www.iste.co...
Figure 6.8. An argument analysis in Brat. For a color version of this figure, se...
Figure 6.9. An argument analysis with RST tool. For a color version of this figu...
Figure 6.10. An argument map with AGORA-net. For a color version of this figure,...
Figure 6.11. An argument analysis in Araucaria. For a color version of this figu...
Figure 6.12. An argument map with Rationale. For a color version of this figure,...
Figure 6.13. An argument analysis in OVA+. For a color version of this figure, s...
Chapter 7
Figure 7.1. The argument mining pipeline
Guide
Cover
Table of Contents
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