Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment

Hideaki Tamori, Yuta Hitomi, Naoaki Okazaki, Kentaro Inui


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.
Anthology ID:
W17-4208
Volume:
Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Venue:
WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
46–50
Language:
URL:
https://www.aclweb.org/anthology/W17-4208
DOI:
10.18653/v1/W17-4208
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-4208.pdf