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Linguistic fundamentals for natural language processing II : : 100 essentials from semantics and pragmatics /

By: Bender, Emily M 1973- [author.].
Contributor(s): Lascarides, Alex [author.].
Material type: materialTypeLabelBookSeries: Synthesis digital library of engineering and computer science: ; Synthesis lectures on human language technologies: #43.Publisher: [San Rafael, California] : Morgan & Claypool, [2020]Description: 1 PDF (xvii, 250 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9781681730745.Subject(s): Natural language processing (Computer science) | Computational linguistics | NLP | semantics | pragmatics | linguisticsGenre/Form: Electronic books.DDC classification: 006.35 Online resources: Abstract with links to full text | Abstract with links to resource Also available in print.
Contents:
1. Introduction -- 2. What is meaning? -- 3. Lexical semantics : overview -- 4. Lexical semantics : senses -- 5. Semantic roles -- 6. Collocations and other multiword expressions -- 7. Compositional semantics -- 8. Compositional semantics beyond predicate-argument structure -- 9. Beyond sentences -- 10. Reference resolution -- 11. Presupposition -- 12. Information status and information structure -- 13. Implicature and dialogue -- 14. Resources -- A. Approaches to discourse structure -- B. Grams used in IGT.
Summary: Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG). This is because the aims of these fields are to build systems that understand what people mean when they speak or write, and that can produce linguistic strings that successfully express to people the intended content. In order for NLP to scale beyond partial, task-specific solutions, researchers in these fields must be informed by what is known about how humans use language to express and understand communicative intents. The purpose of this book is to present a selection of useful information about semantics and pragmatics, as understood in linguistics, in a way that's accessible to and useful for NLP practitioners with minimal (or even no) prior training in linguistics.
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Item type Current location Call number Status Date due Barcode Item holds
E books E books PK Kelkar Library, IIT Kanpur
Available EBKE948
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Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references (pages 193-231) and indexes.

1. Introduction -- 2. What is meaning? -- 3. Lexical semantics : overview -- 4. Lexical semantics : senses -- 5. Semantic roles -- 6. Collocations and other multiword expressions -- 7. Compositional semantics -- 8. Compositional semantics beyond predicate-argument structure -- 9. Beyond sentences -- 10. Reference resolution -- 11. Presupposition -- 12. Information status and information structure -- 13. Implicature and dialogue -- 14. Resources -- A. Approaches to discourse structure -- B. Grams used in IGT.

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

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Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG). This is because the aims of these fields are to build systems that understand what people mean when they speak or write, and that can produce linguistic strings that successfully express to people the intended content. In order for NLP to scale beyond partial, task-specific solutions, researchers in these fields must be informed by what is known about how humans use language to express and understand communicative intents. The purpose of this book is to present a selection of useful information about semantics and pragmatics, as understood in linguistics, in a way that's accessible to and useful for NLP practitioners with minimal (or even no) prior training in linguistics.

Also available in print.

Title from PDF title page (viewed on November 27, 2019).

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