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Ryo Takahashi
Ryo Takahashi
Verified email at ecei.tohoku.ac.jp
Title
Cited by
Cited by
Year
Word rotator's distance
S Yokoi, R Takahashi, R Akama, J Suzuki, K Inui
arXiv preprint arXiv:2004.15003, 2020
612020
Are prompt-based models clueless?
P Kavumba, R Takahashi, Y Oda
Journal of Natural Language Processing 29 (3), 991-996, 2022
232022
Interpretable and compositional relation learning by joint training with an autoencoder
R Takahashi, R Tian, K Inui
arXiv preprint arXiv:1805.09547, 2018
172018
Distantly supervised biomedical knowledge acquisition via knowledge graph based attention
Q Dai, N Inoue, P Reisert, R Takahashi, K Inui
Proceedings of the Workshop on Extracting Structured Knowledge from …, 2019
142019
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
92020
An empirical study of contextual data augmentation for japanese zero anaphora resolution
R Konno, Y Matsubayashi, S Kiyono, H Ouchi, R Takahashi, K Inui
arXiv preprint arXiv:2011.00948, 2020
92020
Incorporating chains of reasoning over knowledge graph for distantly supervised biomedical knowledge acquisition
Q Dai, N Inoue, P Reisert, R Takahashi, K Inui
Proceedings of the 33rd Pacific Asia Conference on Language, Information and …, 2019
72019
Explaining potential risks in traffic scenes by combining logical inference and physical simulation
R Takahashi, N Inoue, Y Kuriya, S Kobayashi, K Inui
International Journal of Machine Learning and Computing 6 (5), 248, 2016
72016
Two training strategies for improving relation extraction over universal graph
Q Dai, N Inoue, R Takahashi, K Inui
arXiv preprint arXiv:2102.06540, 2021
42021
Learning Co-Substructures by Kernel Dependence Maximization.
S Yokoi, D Mochihashi, R Takahashi, N Okazaki, K Inui
IJCAI, 3329-3335, 2017
32017
言語処理 100 本ノック
岡崎直観, 清野舜, 高橋諒, 横井祥
自然言語処理 27 (3), 703-710, 2020
2020
単語埋め込みのノルムと方向ベクトルを区別した文間最適輸送コスト
横井祥, 高橋諒, 赤間怜奈, 鈴木潤, 乾健太郎
人工知能学会全国大会論文集 第 34 回 (2020), 3Q5GS903-3Q5GS903, 2020
2020
独立性尺度に基づく知識の粒度の教師なし推定
横井祥, 持橋大地, 高橋諒, 岡崎直観, 乾健太郎
人工知能学会全国大会論文集 第 31 回 (2017), 2B3OS07a1-2B3OS07a1, 2017
2017
交通オントロジーと説明生成に基づく交通危険予測
高橋諒, 井之上直也, 栗谷康隆, 山本風人, 乾健太郎
人工知能学会全国大会論文集 第 30 回 (2016), 4I41-4I41, 2016
2016
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