Utility evaluation of cross-document information extraction

Heng Ji, Zheng Chen, Jonathan Feldman, Antonio Gonzalez, Ralph Grishman, Vivek Upadhyay

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

Abstract

We describe a utility evaluation to determine whether cross-document information extraction (IE) techniques measurably improve user performance in news summary writing. Two groups of subjects were asked to perform the same time-restricted summary writing tasks, reading news under different conditions: with no IE results at all, with traditional singledocument IE results, and with cross-document IE results. Our results show that, in comparison to using source documents only, the quality of summary reports assembled using IE results, especially from cross-document IE, was significantly better and user satisfaction was higher. We also compare the impact of different user groups on the results.

Original languageEnglish (US)
Title of host publicationNAACL HLT 2010 - Human Language Technologies
Subtitle of host publicationThe 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference
Pages285-288
Number of pages4
StatePublished - 2010
Event2010 Human Language Technologies Conference ofthe North American Chapter of the Association for Computational Linguistics, NAACL HLT 2010 - Los Angeles, CA, United States
Duration: Jun 2 2010Jun 4 2010

Publication series

NameNAACL HLT 2010 - Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference

Other

Other2010 Human Language Technologies Conference ofthe North American Chapter of the Association for Computational Linguistics, NAACL HLT 2010
Country/TerritoryUnited States
CityLos Angeles, CA
Period6/2/106/4/10

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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