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Satoshi Sekine
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Publications
- 2022
- [c91]Shuhei Kurita, Hiroki Ouchi, Kentaro Inui, Satoshi Sekine:
Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling. COLING 2022: 5383-5397 - 2019
- [c82]Tomoya Mizumoto, Hiroki Ouchi, Yoriko Isobe, Paul Reisert, Ryo Nagata, Satoshi Sekine, Kentaro Inui:
Analytic Score Prediction and Justification Identification in Automated Short Answer Scoring. BEA@ACL 2019: 316-325 - [c81]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos:
Can Neural Networks Understand Monotonicity Reasoning? BlackboxNLP@ACL 2019: 31-40 - [c80]Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine:
Select and Attend: Towards Controllable Content Selection in Text Generation. EMNLP/IJCNLP (1) 2019: 579-590 - [c77]Yasutomo Kimura, Hideyuki Shibuki, Hokuto Ototake, Yuzu Uchida, Keiichi Takamaru, Kotaro Sakamoto, Madoka Ishioroshi, Teruko Mitamura, Noriko Kando, Tatsunori Mori, Harumichi Yuasa, Satoshi Sekine, Kentaro Inui:
Final Report of the NTCIR-14 QA Lab-PoliInfo Task. NTCIR 2019: 122-135 - [c76]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos:
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning. *SEM@NAACL-HLT 2019: 250-255 - [i5]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos:
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning. CoRR abs/1904.12166 (2019) - [i4]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos:
Can neural networks understand monotonicity reasoning? CoRR abs/1906.06448 (2019) - [i3]Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine:
Select and Attend: Towards Controllable Content Selection in Text Generation. CoRR abs/1909.04453 (2019) - 2018
- [j5]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
A Joint Neural Model for Fine-Grained Named Entity Classification of Wikipedia Articles. IEICE Trans. Inf. Syst. 101-D(1): 73-81 (2018) - [c75]Takuya Makino, Tomoya Noro, Hiyori Yoshikawa, Tomoya Iwakura, Satoshi Sekine, Kentaro Inui:
A FAQ Search Training Method Based on Automatically Generated Questions. AIRS 2018: 67-73 - [c73]Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa:
What Makes Reading Comprehension Questions Easier? EMNLP 2018: 4208-4219 - [i1]Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa:
What Makes Reading Comprehension Questions Easier? CoRR abs/1808.09384 (2018) - 2016
- [c69]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types. PACLIC 2016 - [c68]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
Fine-Grained Named Entity Classification with Wikipedia Article Vectors. WI 2016: 483-486 - 2007
- [e1]Satoshi Sekine, Kentaro Inui, Ido Dagan, Bill Dolan, Danilo Giampiccolo, Bernardo Magnini:
Proceedings of the ACL-PASCAL@ACL 2007 Workshop on Textual Entailment and Paraphrasing, Prague, Czech Republic, June 28-29, 2007. Association for Computational Linguistics 2007 [contents]
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