Towards topic labeling with phrase entailment and aggregation

Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng, Shafiq Rayhan Joty

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

13 Citations (Scopus)

Abstract

We propose a novel framework for topic labeling that assigns the most representative phrases for a given set of sentences covering the same topic. We build an entailment graph over phrases that are extracted from the sentences, and use the entailment relations to identify and select the most relevant phrases. We then aggregate those selected phrases by means of phrase generalization and merging. We motivate our approach by applying over conversational data, and show that our framework improves performance significantly over baseline algorithms.

Original languageEnglish
Title of host publicationNAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages179-189
Number of pages11
ISBN (Print)9781937284473
Publication statusPublished - 2013
Externally publishedYes
Event2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2013 - Atlanta, United States
Duration: 9 Jun 201314 Jun 2013

Other

Other2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2013
CountryUnited States
CityAtlanta
Period9/6/1314/6/13

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ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Science Applications
  • Linguistics and Language

Cite this

Mehdad, Y., Carenini, G., Ng, R. T., & Rayhan Joty, S. (2013). Towards topic labeling with phrase entailment and aggregation. In NAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference (pp. 179-189). Association for Computational Linguistics (ACL).