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Graph-based Natural Language Processing and Information Retrieval

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Title: Graph-based Natural Language Processing and Information Retrieval
Description: Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.
Authors: Rada Mihalcea, Dragomir Radev
Resource Type: eBook.
Subjects: Natural language processing (Computer science), Graphical user interfaces (Computer systems)
Categories: COMPUTERS / User Interfaces
Database: eBook Collection (EBSCOhost)
FullText Links:
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  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
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PubType: eBook
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  Data: Graph-based Natural Language Processing and Information Retrieval
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  Data: Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.
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  Data: <searchLink fieldCode="AR" term="%22Rada+Mihalcea%22">Rada Mihalcea</searchLink><br /><searchLink fieldCode="AR" term="%22Dragomir+Radev%22">Dragomir Radev</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Natural+language+processing+%28Computer+science%29%22">Natural language processing (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Graphical+user+interfaces+%28Computer+systems%29%22">Graphical user interfaces (Computer systems)</searchLink>
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    Classifications:
      – Code: 005.437
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Natural language processing (Computer science)
        Type: general
      – SubjectFull: Graphical user interfaces (Computer systems)
        Type: general
    Titles:
      – TitleFull: Graph-based Natural Language Processing and Information Retrieval
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Rada Mihalcea
      – PersonEntity:
          Name:
            NameFull: Dragomir Radev
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            NameFull: Rada Mihalcea
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          Name:
            NameFull: Dragomir Radev
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2011
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780521896139
            – Type: isbn-electronic
              Value: 9781139077095
          Titles:
            – TitleFull: Graph-based Natural Language Processing and Information Retrieval
              Type: main
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