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        <title>Enumeration of Extractive Oracle Summaries</title>
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    <abstract>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 ROUGE-N. 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.</abstract>
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%0 Conference Proceedings
%T Enumeration of Extractive Oracle Summaries
%A Hirao, Tsutomu
%A Nishino, Masaaki
%A Suzuki, Jun
%A Nagata, Masaaki
%Y Lapata, Mirella
%Y Blunsom, Phil
%Y Koller, Alexander
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F hirao-etal-2017-enumeration
%X 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 ROUGE-N. 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.
%U https://aclanthology.org/E17-1037
%P 386-396

Markdown (Informal)

[Enumeration of Extractive Oracle Summaries](https://aclanthology.org/E17-1037) (Hirao et al., EACL 2017)

• Enumeration of Extractive Oracle Summaries (Hirao et al., EACL 2017)

ACL

• Tsutomu Hirao, Masaaki Nishino, Jun Suzuki, and Masaaki Nagata. 2017. Enumeration of Extractive Oracle Summaries. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 386–396, Valencia, Spain. Association for Computational Linguistics.