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Automatic Ambiguity Resolution in Natural Language Processing

  • Kartonierter Einband
  • 184 Seiten
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This is an exciting time for Artificial Intelligence, and for Natural Language Processing in particular. Over the last five years ... Weiterlesen
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Beschreibung

This is an exciting time for Artificial Intelligence, and for Natural Language Processing in particular. Over the last five years or so, a newly revived spirit has gained prominence that promises to revitalize the whole field: the spirit of empiricism.
This book introduces a new approach to the important NLP issue of automatic ambiguity resolution, based on statistical models of text. This approach is compared with previous work and proved to yield higher accuracy for natural language analysis. An effective implementation strategy is also described, which is directly useful for natural language analysis. The book is noteworthy for demonstrating a new empirical approach to NLP; it is essential reading for researchers in natural language processing or computational linguistics.

Inhalt
Previous work on syntactic ambiguity resolution.- Loglinear models for ambiguity resolution.- Modeling new words.- Part-of-speech ambiguity.- Prepositional phrase attachment disambiguation.- Conclusions.

Produktinformationen

Titel: Automatic Ambiguity Resolution in Natural Language Processing
Untertitel: An Empirical Approach
Autor:
EAN: 9783540620044
ISBN: 3540620044
Format: Kartonierter Einband
Herausgeber: Springer Berlin Heidelberg
Genre: Informatik
Anzahl Seiten: 184
Gewicht: 289g
Größe: H235mm x B155mm x T10mm
Jahr: 1996
Untertitel: Englisch
Auflage: 1996

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