Paraphrase identification with lexico-syntactic graph subsumption

Vasile Rus, Philip M. McCarthy, Mihai C. Lintean, Danielle S. McNamara, Arthur C. Graesser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

55 Scopus citations

Abstract

The paper presents a new approach to the problem of paraphrase identification. The new approach extends a previously proposed method for the task of textual entailment. The relationship between paraphrases and entailment is discussed to theoretically justify the new approach. The proposed approach is useful because it uses relatively few resources compared to similar systems yet it produces results similar or better than other approaches to paraphrase identification. The approach also offers significantly better results than two baselines. We report results on a standard data set as well as on a new, balanced data set.

Original languageEnglish (US)
Title of host publicationProceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21
Pages201-206
Number of pages6
StatePublished - Nov 17 2008
Externally publishedYes
Event21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21 - Coconut Grove, FL, United States
Duration: May 15 2008May 17 2008

Publication series

NameProceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21

Other

Other21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21
CountryUnited States
CityCoconut Grove, FL
Period5/15/085/17/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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  • Cite this

    Rus, V., McCarthy, P. M., Lintean, M. C., McNamara, D. S., & Graesser, A. C. (2008). Paraphrase identification with lexico-syntactic graph subsumption. In Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21 (pp. 201-206). (Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21).