Automatic discovery of intentions in text and its application to question answering

Authors:
Marta Tatu
Affiliations:
University of Texas at Dallas, Richardson, TX
Venue:
ACLstudent '05 Proceedings of the ACL Student Research Workshop
Year:
2005

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Abstract

Semantic relations between text concepts denote the core elements of lexical semantics. This paper presents a model for the automatic detection of Intention semantic relation. Our approach first identifies the syntactic patterns that encode intentions, then we select syntactic and semantic features for a svm learning classifier. In conclusion, we discuss the application of intention relations to Q&A.