Lexical Semantics-Syntactic Model for Defining and Subcategorizing Attribute Noun Class

نویسندگان

  • Xiaopeng Bai
  • Hui Wang
چکیده

Either word sense classification or word sense clustering can not avoid this problem: what features people can get from word meaning that can be used as the tools employed for producing word sense ontology. In this paper, we present a lexical semantic-syntactic model to define and subcategorize a noun class—attribute noun class, by acquiring syntactic behavior and semantic restrictions from corpus. First we introduce the idea of attribute noun class. Then we describe the model, which is a specific tool providing a practical method to decide whether a word should be located in a specific word sense class or not. Then we apply the model to 15 nouns to show how the model works, and create a sample taxonomy for the 15 nouns.

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تاریخ انتشار 2010