We previously demonstrated the use of LingPipe using regular expressions in the Using regular expressions for NER section earlier in this chapter. Here, we will demonstrate how named entity models and the ExactDictionaryChunker class are used to perform NER analysis.
Using LingPipe for NER
by AshishSingh Bhatia, Richard M. Reese
Natural Language Processing with Java - Second Edition
- Title Page
- Copyright and Credits
- Dedication
- Packt Upsell
- Contributors
- Preface
- Introduction to NLP
- Finding Parts of Text
- Finding Sentences
- Finding People and Things
- Detecting Part of Speech
- Representing Text with Features
- Information Retrieval
- Classifying Texts and Documents
- Topic Modeling
- Using Parsers to Extract Relationships
- Combined Pipeline
- Preparing data
- Using boilerpipe to extract text from HTML
- Using POI to extract text from Word documents
- Using PDFBox to extract text from PDF documents
- Using Apache Tika for content analysis and extraction
- Pipelines
- Using the Stanford pipeline
- Using multiple cores with the Stanford pipeline
- Creating a pipeline to search text
- Summary
- Creating a Chatbot
- Other Books You May Enjoy
Using LingPipe for NER
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