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Automatic Syntactic Analysis Based on Selectional Preferences (Studies in Computational Intelligence, Band 765) - Softcover

Buch 275 von 538: Studies in Computational Intelligence

Gelbukh, Alexander; Calvo, Hiram

 
9783030089085: Automatic Syntactic Analysis Based on Selectional Preferences (Studies in Computational Intelligence, Band 765)
Softcover
ISBN 10: 3030089088 ISBN 13: 9783030089085
Verlag: Springer, 2019

Inhaltsangabe

Describes recent methods to automatically analyze a sentence, based on the syntactic and semantic characteristics of the elements that form it

Presents a disambiguation algorithm based on linguistic and semantic knowledge

Describes new contributions for automatic selectional preferences extraction and its multiple applications

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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 language and as such several techniques for parsing sentences have been proposed. Which is better? In this book the authors begin with simple heuristics before moving on to more complex methods that identify nouns and verbs and then aggregate modifiers, and lastly discuss methods that can handle complex subordinate and relative clauses. During this process, several ambiguities arise. SP are commonly determined on the basis of the association between a pair of words. However, in many cases, SP depend on more words. For example, something (such as grass) may be edible, depending on who is eating it (a cow?). Moreover, things such as popcorn are usually eaten at the movies, and not in a restaurant. The authors deal with these phenomena from different points of view.

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Verlag
Springer
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
3030089088
ISBN 13 
9783030089085
Einband
Taschenbuch
Anzahl der Seiten
176
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