The following paper with Funayama-san in Inui lab has been accepted for AIED 2022!
Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki and Kentaro Inui. Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring, The 23rd International Conference on Artificial Intelligence in Education (AIED2022), pp.xxx-xxx, July 2022.
Our undergraduate members, Madoka Arai-san, Yukiko Ishizuki-san and Yuki Minoh-san graduated. Congratulations!
We made the following two presentations at NLP 2022!
D3:心理言語学・認知モデリング 3月15日(火) 15:20-17:00 Zoom
E4:教育応用(2) 3月15日(火) 17:20-19:00 Zoom
Konno-san made a presentation for the following paper at the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) main conference.
Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution
Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi and Kentaro Inui
Paper DOI: https://arxiv.org/abs/2104.07425
Presentation
Poster:konno-poster-emnlp2021
Code:GitHub
Ishizuki-san made a presentation at The 16th Symposium of Young Researcher Association for NLP Studies (YANS)
[P4-10] 情報量に基づく日本語項省略の分析
○石月由紀子(東北大),栗林樹生(東北大/Langsmith),松林優一郎(東北大/理研),大関洋平(東大/理研)
The following paper with Konno-san has been accepted for EMNLP 2021 main conference!
Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution
Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi and Kentaro Inui
paper DOI: https://arxiv.org/abs/2104.07425
Fujita-san, Iwase-san, Oba-san joined our lab. Welcome!
Kikuchi-san entered our graduate course. Welcome again!
Our undergraduate members, Taisuke Onaka-san and Seiya Kikuchi-san graduated. Congratulations!
The following paper of Onaka-san, Kikuchi-san, and Funayama-san received the Special Committee Award at NLP 2021!
菊地正弥, 尾中大介, 舟山弘晃, 松林優一郎, 乾健太郎 /
“項目採点技術に基づいた和文英訳答案の自動採点”
We made the following three presentations at NLP 2021.
The following paper with Konno-san has been accepted for COLING 2020!
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution.
Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, Hiroki Ouchi, Ryo Takahashi and Kentaro Inui.
In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020) pp.4956–4968, December 2020.
The following paper with Abe-san in Inui lab has been accepted for Journal of Natural Language Processing.
Kaori Abe, Yuichiroh Matsubayashi, Naoaki Okazaki and Kentaro Inui.
Multi-dialect Neural Machine Translation for 48 Low-resource Japanese Dialects.
Journal of Natural Language Processing. Volume 27, Number 4, pp.781-800, December 2020.
Paper DOI: https://doi.org/10.5715/jnlp.27.781
Arai-san, Ishizuki-san, and Minoh-san joined our lab. Welcome!
The following paper with Funayama-san in Inui lab has been accepted for ACL SRW 2020!
Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita and Kentaro Inui.
Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation.
In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL SRW), pp. 237–243, July 2020.
The first student in our laboratory, Haruki Oka-san, graduated. Congratulations!
The paper "The Input to Verb Learning in Japanese: Picture Books for Syntactic Bootstrapping" has been accepted for BUCLD 44.
Naho Orita, Asumi Suzuki, Yuichiro Matsubayashi.
The Input to Verb Learning in Japanese: Picture Books for Syntactic Bootstrapping.
In BUCLD 44: Proceedings of the 44th annual Boston University Conference on Language Development (BUCLD) edited by Megan M. Brown and Alexandra Kohut, pp. 457-464.
Naho Orita, Asumi Suzuki, Yuichiro Matsubayashi. Verb arguments in Japanese picture books. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), July 2019.