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Natural Language Understanding

By: Material type: TextTextPublication details: Noida Pearson Education 2007Edition: 2nd edDescription: xiii,654pISBN:
  • 9788131708958
Subject(s): DDC classification:
  • 006.35 ALL-N
Contents:
Table of Content Introduction to Natural Language Understanding. Linguistic Background: An Outline of English Syntax. Grammars and Parsing. Features and Augmented Grammars. Grammars for Natural Language. Toward Efficient Parsing. Ambiguity Resolution: Statistical Methods. Semantics and Logical Form. Linking Syntax and Semantics. Ambiguity Resolution. Other Strategies for Semantic Interpretation. Scoping and the Interpretation of Noun Phrases. Knowledge Representation and Reasoning. Local Discourse Context and Reference. Using World Knowledge. Discourse Structure. Defining a Conversational Agent.
Summary: Natural Language Understanding gives the same balanced coverage of syntax, semantics, and discourse, and offers a uniform framework based on feature-based context-free grammars and chart parsers used for syntactic and semantic processing. Thorough treatment of issues in discourse and context-dependent interpretation is also provided. In addition, this title offers coverage of two entirely new subject areas. First, the text features a new chapter on statistically-based methods using large corpora. Second, it includes an appendix on speech recognition and spoken language understanding. Also, the information on semantics that was covered in the first edition has been largely expanded in this edition to include an emphasis on compositional interpretation.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 006.35 ALL-N (Browse shelf(Opens below)) Checked out to SHEEBA K (DCBPDF20016) 14/08/2024 DCB3569

Table of Content Introduction to Natural Language Understanding. Linguistic Background: An Outline of English Syntax. Grammars and Parsing. Features and Augmented Grammars. Grammars for Natural Language. Toward Efficient Parsing. Ambiguity Resolution: Statistical Methods. Semantics and Logical Form. Linking Syntax and Semantics. Ambiguity Resolution. Other Strategies for Semantic Interpretation. Scoping and the Interpretation of Noun Phrases. Knowledge Representation and Reasoning. Local Discourse Context and Reference. Using World Knowledge. Discourse Structure. Defining a Conversational Agent.

Natural Language Understanding gives the same balanced coverage of syntax, semantics, and discourse, and offers a uniform framework based on feature-based context-free grammars and chart parsers used for syntactic and semantic processing. Thorough treatment of issues in discourse and context-dependent interpretation is also provided. In addition, this title offers coverage of two entirely new subject areas. First, the text features a new chapter on statistically-based methods using large corpora. Second, it includes an appendix on speech recognition and spoken language understanding. Also, the information on semantics that was covered in the first edition has been largely expanded in this edition to include an emphasis on compositional interpretation.

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