Enumeration of extractive oracle summaries

Tsutomu Hirao, Masaaki Nishino, Jun Suzuki, Masaaki Nagata

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

To analyze the limitations and the future directions of the extractive summarization paradigm, this paper proposes an Integer Linear Programming (ILP) formulation to obtain extractive oracle summaries in terms of ROUGEn. We also propose an algorithm that enumerates all of the oracle summaries for a set of reference summaries to exploit F-measures that evaluate which system summaries contain how many sentences that are extracted as an oracle summary. Our experimental results obtained from Document Understanding Conference (DUC) corpora demonstrated the following: (1) room still exists to improve the performance of extractive summarization; (2) the F-measures derived from the enumerated oracle summaries have significantly stronger correlations with human judgment than those derived from single oracle summaries.

本文言語English
ホスト出版物のタイトルLong Papers
出版社Association for Computational Linguistics (ACL)
ページ386-396
ページ数11
ISBN(電子版)9781510838604
DOI
出版ステータスPublished - 2017
外部発表はい
イベント15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Valencia, Spain
継続期間: 2017 4 32017 4 7

出版物シリーズ

名前15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference
1

Other

Other15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017
国/地域Spain
CityValencia
Period17/4/317/4/7

ASJC Scopus subject areas

  • 言語学および言語
  • 言語および言語学

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