Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1171)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (7 chapters)
Keywords
About this book
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.
Bibliographic Information
Book Title: Automatic Ambiguity Resolution in Natural Language Processing
Book Subtitle: An Empirical Approach
Editors: Alexander Franz
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/BFb0021059
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1996
Softcover ISBN: 978-3-540-62004-4Published: 13 November 1996
eBook ISBN: 978-3-540-49593-2Published: 13 November 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XX, 164
Topics: Artificial Intelligence, Simulation and Modeling, Mathematical Logic and Formal Languages, Statistics for Social Sciences, Humanities, Law