ENGLISH

Automatic Ambiguity Resolution in Natural Language Processing: An Empirical Approach

By Alexander Franz (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
1996
ISBN
978-3-540-62004-4, 978-3-540-49593-2
DOI
10.1007/BFb0021059
Language
english
Format
PDF
Filesize
2 MB (2297195 bytes)
Series
Lecture Notes in Computer Science 1171
Edition
1
Pages
164\163
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
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Description

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.

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