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Automatic Syntactic Analysis Based on Selectional Preferences - 9783030089085
Automatic Syntactic Analysis Based on Selectional Preferences - 9783030089085
Automatic Syntactic Analysis Based on Selectional Preferences - 9783030089085
Automatic Syntactic Analysis Based on Selectional Preferences - 9783030089085
Automatic Syntactic Analysis Based on Selectional Preferences - 9783030089085
Automatic Syntactic Analysis Based on Selectional Preferences - 9783030089085

Automatic Syntactic Analysis Based on Selectional Preferences - 9783030089085

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Automatic Syntactic Analysis Based on Selectional PreferencesAuthor(s): Alexander Gelbukh, Hiram Calvo\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783030089085, 978-3030089085\nSynopsis\nThis book describes effective methodsfor 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 subordinat.

Automatic Syntactic Analysis Based on Selectional Preferences - 9783030089085

Automatic Syntactic Analysis Based on Selectional PreferencesAuthor(s): Alexander Gelbukh, Hiram Calvo\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783030089085, 978-3030089085\nSynopsis\nThis book describes effective methodsfor 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 subordinat.

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