Natural Language Processing: Semantic Aspects

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.

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Natural Language Processing: Semantic Aspects

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.

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Natural Language Processing: Semantic Aspects

Natural Language Processing: Semantic Aspects

Natural Language Processing: Semantic Aspects

Natural Language Processing: Semantic Aspects

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$225.00 
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Overview

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.


Product Details

ISBN-13: 9781466584969
Publisher: Taylor & Francis
Publication date: 11/14/2013
Pages: 346
Product dimensions: 6.00(w) x 9.20(h) x 0.90(d)

About the Author

Epaminondas Kapetanios, Doina Tatar, Christian Sacarea

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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