Pyreval: An automated method for summary content analysis

Yanjun Gao, Andrew Warner, Rebecca J. Passonneau

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

4 Scopus citations

Abstract

The pyramid method is a content analysis approach in automatic summarization evaluation for manual construction of a content model from reference summaries, and manual scoring of unseen summaries with the pyramid model. PyrEval automates the manual pyramid method. PyrEval uses low-dimension distributional semantics to represent phrase meanings, and a new algorithm, EDUA (Emergent Discovery of Units of Attraction), to solve a set cover problem to construct the content model from vectorized phrases. Because the vectors are pretrained, and EDUA is an efficient greedy algorithm, PyrEval can apply pyramid content evaluation with no retraining, and in excellent time. Moreover, PyrEval has been tested on many datasets derived from humans and machine generated summaries, and shown good performance on both.

Original languageEnglish (US)
Title of host publicationLREC 2018 - 11th International Conference on Language Resources and Evaluation
EditorsHitoshi Isahara, Bente Maegaard, Stelios Piperidis, Christopher Cieri, Thierry Declerck, Koiti Hasida, Helene Mazo, Khalid Choukri, Sara Goggi, Joseph Mariani, Asuncion Moreno, Nicoletta Calzolari, Jan Odijk, Takenobu Tokunaga
PublisherEuropean Language Resources Association (ELRA)
Pages3234-3239
Number of pages6
ISBN (Electronic)9791095546009
StatePublished - 2019
Event11th International Conference on Language Resources and Evaluation, LREC 2018 - Miyazaki, Japan
Duration: May 7 2018May 12 2018

Publication series

NameLREC 2018 - 11th International Conference on Language Resources and Evaluation

Other

Other11th International Conference on Language Resources and Evaluation, LREC 2018
Country/TerritoryJapan
CityMiyazaki
Period5/7/185/12/18

All Science Journal Classification (ASJC) codes

  • Linguistics and Language
  • Education
  • Library and Information Sciences
  • Language and Linguistics

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