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        <title>Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment</title>
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    <abstract>We address the issue of the quality of journalism and analyze daily article revision logs from a Japanese newspaper company. The revision logs contain data that can help reveal the requirements of quality journalism such as the types and number of edit operations and aspects commonly focused in revision. This study also discusses potential applications such as quality assessment and automatic article revision as our future research directions.</abstract>
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    <identifier type="doi">10.18653/v1/W17-4208</identifier>
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%0 Conference Proceedings
%T Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment
%A Tamori, Hideaki
%A Hitomi, Yuta
%A Okazaki, Naoaki
%A Inui, Kentaro
%Y Popescu, Octavian
%Y Strapparava, Carlo
%S Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F tamori-etal-2017-analyzing
%X We address the issue of the quality of journalism and analyze daily article revision logs from a Japanese newspaper company. The revision logs contain data that can help reveal the requirements of quality journalism such as the types and number of edit operations and aspects commonly focused in revision. This study also discusses potential applications such as quality assessment and automatic article revision as our future research directions.
%R 10.18653/v1/W17-4208
%U https://aclanthology.org/W17-4208
%U https://doi.org/10.18653/v1/W17-4208
%P 46-50

Markdown (Informal)

[Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment](https://aclanthology.org/W17-4208) (Tamori et al., 2017)

• Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment (Tamori et al., 2017)

ACL

• Hideaki Tamori, Yuta Hitomi, Naoaki Okazaki, and Kentaro Inui. 2017. Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment. In Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, pages 46–50, Copenhagen, Denmark. Association for Computational Linguistics.