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, and the nature of language. The book also emphasizes the portions of mathematics needed to understand the discussed algorithms.
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, and the nature of language. The book also emphasizes the portions of mathematics needed to understand the discussed algorithms.
Epaminondas Kapetanios, Doina Tatar, Christian Sacarea
Inhaltsangabe
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
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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