Description

Book Synopsis

This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, the and the nature of language. The book also emphasizes the portions of mathematics needed to understand the discussed algorithms.



Table of Contents
Preface, PART I: Introduction, 1. The Nature of Language, PART II: Mathematics, 2. Relations, 3. Algebraic Structures, 4. Linear Algebra, 5. Conceptual Knowledge Processing and Formal Concept Analysis, PART III: Knowledge Representation for NLP, 6. Measuring Word Meaning Similarity, 7. Semantics and Query Languages, 8. Multi-Lingual Querying and Parametric Theory, PART IV: Knowledge Extraction and Engineering for NLP, 9. Word Sense Disambiguation, 10. Text Entailment, 11. Text Segmentation, 12. Text Summarization, 13. Named Entity Recognition, Bibliography, Index

Natural Language Processing

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    A Hardback by Christian Sacarea, Doina Tatar, Christian Sacarea

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      Publisher: Taylor & Francis Inc
      Publication Date: Publication Date: 1/14/2013 12:11:00 AM
      ISBN13: 9781466584969, 978-1466584969
      ISBN10: 1466584963

      Description

      Book Synopsis

      This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, the and the nature of language. The book also emphasizes the portions of mathematics needed to understand the discussed algorithms.



      Table of Contents
      Preface, PART I: Introduction, 1. The Nature of Language, PART II: Mathematics, 2. Relations, 3. Algebraic Structures, 4. Linear Algebra, 5. Conceptual Knowledge Processing and Formal Concept Analysis, PART III: Knowledge Representation for NLP, 6. Measuring Word Meaning Similarity, 7. Semantics and Query Languages, 8. Multi-Lingual Querying and Parametric Theory, PART IV: Knowledge Extraction and Engineering for NLP, 9. Word Sense Disambiguation, 10. Text Entailment, 11. Text Segmentation, 12. Text Summarization, 13. Named Entity Recognition, Bibliography, Index

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