フォロー
Tatsuki Kuribayashi
Tatsuki Kuribayashi
Tohoku University, Langsmith inc.
確認したメール アドレス: ecei.tohoku.ac.jp
タイトル
引用先
引用先
Attention is not only a weight: Analyzing transformers with vector norms
G Kobayashi, T Kuribayashi, S Yokoi, K Inui
arXiv preprint arXiv:2004.10102, 2020
722020
An empirical study of span representations in argumentation structure parsing
T Kuribayashi, H Ouchi, N Inoue, P Reisert, T Miyoshi, J Suzuki, K Inui
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
212019
Instance-based learning of span representations: A case study through named entity recognition
H Ouchi, J Suzuki, S Kobayashi, S Yokoi, T Kuribayashi, R Konno, K Inui
arXiv preprint arXiv:2004.14514, 2020
182020
Attention module is not only a weight: Analyzing transformers with vector norms
G Kobayashi, T Kuribayashi, S Yokoi, K Inui
122020
Feasible annotation scheme for capturing policy argument reasoning using argument templates
P Reisert, N Inoue, T Kuribayashi, K Inui
Proceedings of the 5th Workshop on Argument Mining, 79-89, 2018
112018
Lower perplexity is not always human-like
T Kuribayashi, Y Oseki, T Ito, R Yoshida, M Asahara, K Inui
arXiv preprint arXiv:2106.01229, 2021
92021
Diamonds in the rough: Generating fluent sentences from early-stage drafts for academic writing assistance
T Ito, T Kuribayashi, H Kobayashi, A Brassard, M Hagiwara, J Suzuki, ...
arXiv preprint arXiv:1910.09180, 2019
62019
Incorporating residual and normalization layers into analysis of masked language models
G Kobayashi, T Kuribayashi, S Yokoi, K Inui
arXiv preprint arXiv:2109.07152, 2021
52021
Modeling Event Salience in Narratives via Barthes' Cardinal Functions
T Otake, S Yokoi, N Inoue, R Takahashi, T Kuribayashi, K Inui
arXiv preprint arXiv:2011.01785, 2020
52020
Teaspn: framework and protocol for integrated writing assistance environments
M Hagiwara, T Ito, T Kuribayashi, J Suzuki, K Inui
arXiv preprint arXiv:1909.02621, 2019
42019
Langsmith: An interactive academic text revision system
T Ito, T Kuribayashi, M Hidaka, J Suzuki, K Inui
arXiv preprint arXiv:2010.04332, 2020
32020
Towards exploiting argumentative context for argumentative relation identification
T Kuribayashi, P Reisert, N Inoue, K Inui
Proceedings of the 24th Annual Conference of the Society of Language …, 2018
32018
Examining macro-level argumentative structure features for argumentative relation identification
T Kuribayashi, P Reisert, N Inoue, K Inui
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 117 (367), 37-42, 2017
32017
Instance-Based Neural Dependency Parsing
H Ouchi, J Suzuki, S Kobayashi, S Yokoi, T Kuribayashi, M Yoshikawa, ...
Transactions of the Association for Computational Linguistics 9, 1493-1507, 2021
12021
Context Limitations Make Neural Language Models More Human-Like
T Kuribayashi, Y Oseki, A Brassard, K Inui
arXiv preprint arXiv:2205.11463, 2022
2022
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese
T Kuribayashi, T Ito, J Suzuki, K Inui
arXiv preprint arXiv:2005.00842, 2020
2020
Assisting authors to convert raw products into polished prose
T Ito, T Kuribayashi, H Kobayashi, A Brassard, M Hagiwara, J Suzuki, ...
Journal of Cognitive Science 21 (1), 103-140, 2020
2020
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