Automatic Ambiguity Resolution in Natural Language Processing: An Empirical Approach by Alexander FranzAutomatic Ambiguity Resolution in Natural Language Processing: An Empirical Approach by Alexander Franz

Automatic Ambiguity Resolution in Natural Language Processing: An Empirical Approach

byAlexander Franz

Paperback | November 13, 1996

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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.
Title:Automatic Ambiguity Resolution in Natural Language Processing: An Empirical ApproachFormat:PaperbackDimensions:184 pagesPublished:November 13, 1996Publisher:Springer Berlin Heidelberg

The following ISBNs are associated with this title:

ISBN - 10:3540620044

ISBN - 13:9783540620044

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Table of Contents

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