Automatic Syntactic Analysis Based on Selectional Preferences

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

Describes recent methods for automatically analyzing 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 Offers new contributions for automatic selectional preferences extraction and its multiple applications

Inhalt

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.