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Automatic syntactic analysis based on selectional preferences

Author: Alexander Gelbukh; Hiram Calvo
Publisher: Cham, Switzerland : Springer, 2018.
Series: Studies in computational intelligence, v. 765.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book describes effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it. To tackle ambiguities, the authors use selectional preferences (SP), which measure how well two words fit together semantically in a sentence. Today, many disciplines require automatic text analysis based on the syntactic and semantic characteristics of  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
GELBUKH, ALEXANDER. CALVO, HIRAM.
AUTOMATIC SYNTACTIC ANALYSIS BASED ON SELECTIONAL PREFERENCES.
[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2018
(OCoLC)1015861881
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Alexander Gelbukh; Hiram Calvo
ISBN: 9783319740546 3319740547 9783319740553 3319740555 9783030089085 3030089088
OCLC Number: 1027218888
Description: 1 online resource
Contents: Introduction --
First approach: sentence analysis using rewriting rules --
Second approach: constituent grammars --
Third approach: dependency trees --
Evaluation of the dependency parser --
Applications --
Prepositional phrase attachment disambiguation --
The unsupervised approach: grammar induction --
Multiple argument handling --
The need for full co-occurrence.
Series Title: Studies in computational intelligence, v. 765.
Responsibility: Alexander Gelbukh, Hiram Calvo.

Abstract:

This book describes effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it.  Read more...

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