Paper: Automatic Discovery Of Intentions In Text And Its Application To Question Answering

ACL ID P05-2006
Title Automatic Discovery Of Intentions In Text And Its Application To Question Answering
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2005
Authors
  • Marta Tatu (University of Texas at Dallas, Richardson TX)

Semantic relations between text concepts denote the core elements of lexical se- mantics. This paper presents a model for the automatic detection of INTENTION se- mantic relation. Our approach first identi- fies the syntactic patterns that encode in- tentions, then we select syntactic and se- mantic features for a SVM learning classi- fier. In conclusion, we discuss the appli- cation of INTENTION relations to Q&A.