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.
Cite
CITATION STYLE
Tamori, H., Hitomi, Y., Okazaki, N., & Inui, K. (2017). Analyzing the revision logs of a japanese newspaper for article quality assessment. In EMNLP 2017 - 2nd Workshop on Natural Language Processing Meets Journalism, NLPmJ 2017 - Proceedings of the Workshop (pp. 46–50). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-4208
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