Automatic Syntactic Analysis Based on Selectional Preferences

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 sentenc...

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Bibliographic Details
Main Authors: Gelbukh, Alexander (Author), Calvo, Hiram (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Studies in Computational Intelligence, 765
Subjects:
Computational intelligence.
Computational linguistics.
Natural language processing (Computer science).
Artificial intelligence.
Computational Intelligence.
Computational Linguistics.
Natural Language Processing (NLP).
Artificial Intelligence.
Online Access:Full-text access
Table of 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.

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