Automated pyramid scoring of summaries using distributional semantics

Rebecca J. Passonneau, Emily Chent, Weiwei Guot, Dolores Perin

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

25 Scopus citations

Abstract

The pyramid method for content evaluation of automated summarizers produces scores that are shown to correlate well with manual scores used in educational assessment of students' summaries. This motivates the development of a more accurate automated method to compute pyramid scores. Of three methods tested here, the one that performs best relies on latent semantics.

Original languageEnglish (US)
Title of host publicationShort Papers
PublisherAssociation for Computational Linguistics (ACL)
Pages143-147
Number of pages5
ISBN (Print)9781937284510
StatePublished - Jan 1 2013
Event51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 - Sofia, Bulgaria
Duration: Aug 4 2013Aug 9 2013

Publication series

NameACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
Volume2

Other

Other51st Annual Meeting of the Association for Computational Linguistics, ACL 2013
CountryBulgaria
CitySofia
Period8/4/138/9/13

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Linguistics and Language

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