研究者
J-GLOBAL ID:201401050488541469   更新日: 2020年11月27日

村脇 有吾

ムラワキ ユウゴ | Murawaki Yugo
所属機関・部署:
職名: 助教
ホームページURL (1件): http://murawaki.org/
研究分野 (1件): 知能情報学
論文 (18件):
  • Oleksandr Harust, Yugo Murawaki, Sadao Kurohashi. Native-like Expression Identification by Contrasting Native and Proficient Second Language Speakers. Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics: Technical Papers. 2020
  • Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, et al. A System for Worldwide COVID-19 Information Aggregation. Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020. 2020
  • Yugo Murawaki. Latent Geographical Factors for Analyzing the Evolution of Dialects in Contact. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). 2020. 959-959
  • Yu Tanaka, Yugo Murawaki, Daisuke Kawahara, Sadao Kurohashi. Building a Japanese Typo Dataset from Wikipedia's Revision History. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL2020SRW). 2020
  • Yudai Kishimoto, Yugo Murawaki, Sadao Kurohashi. Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives. Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC2020). 2020. 1152-1158
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MISC (43件):
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書籍 (1件):
  • 文化情報学事典
    勉誠出版
講演・口頭発表等 (50件):
  • Building a Japanese Typo Dataset from Wikipedia's Revision History
    (Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL2020SRW) 2020)
  • Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives
    (Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC2020) 2020)
  • Wikipediaの修正履歴を用いた日本語入力誤りデータセットの構築
    (言語処理学会 第26回年次大会 2020)
  • Minimally Supervised Learning of Affective Events Using Discourse Relations
    (In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing 2019)
  • Diversity-aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction
    (In Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing (COIN) 2019)
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学位 (1件):
  • 博士(情報学) (京都大学)
経歴 (1件):
  • 2014 - 九州大学 システム情報科学研究科(研究院 助教
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