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Kentaro Inui
Kentaro Inui
MBZUAI, Tohoku University, RIKEN
Geverifieerd e-mailadres voor mbzuai.ac.ae - Homepage
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Dependency tree-based sentiment classification using CRFs with hidden variables
T Nakagawa, K Inui, S Kurohashi
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
4862010
Collecting evaluative expressions for opinion extraction
N Kobayashi, K Inui, Y Matsumoto, K Tateishi, T Fukushima
Natural Language Processing–IJCNLP 2004: First International Joint …, 2005
3972005
Extracting aspect-evaluation and aspect-of relations in opinion mining
N Kobayashi, K Inui, Y Matsumoto
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007
2602007
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
2412020
Emotion classification using massive examples extracted from the web
R Tokuhisa, K Inui, Y Matsumoto
Proceedings of the 22nd International Conference on Computational …, 2008
2382008
意見抽出のための評価表現の収集
小林のぞみ， 乾健太郎， 松本裕治， 立石健二， 福島俊一
自然言語処理 12 (3), 203-222, 2005
2372005
Text simplification for reading assistance: a project note
K Inui, A Fujita, T Takahashi, R Iida, T Iwakura
Proceedings of the second international workshop on Paraphrasing, 9-16, 2003
2202003
Selective sampling for example-based word sense disambiguation
A Fujii, K Inui, T Tokunaga, H Tanaka
arXiv preprint cs/9910020, 1999
2061999
An empirical study of incorporating pseudo data into grammatical error correction
S Kiyono, J Suzuki, M Mita, T Mizumoto, K Inui
arXiv preprint arXiv:1909.00502, 2019
1832019
Encoder-decoder models can benefit from pre-trained masked language models in grammatical error correction
M Kaneko, M Mita, S Kiyono, J Suzuki, K Inui
arXiv preprint arXiv:2005.00987, 2020
1722020
Annotating a Japanese text corpus with predicate-argument and coreference relations
R Iida, M Komachi, K Inui, Y Matsumoto
Proceedings of the linguistic annotation workshop, 132-139, 2007
1522007
Neural architectures for fine-grained entity type classification
S Shimaoka, P Stenetorp, K Inui, S Riedel
arXiv preprint arXiv:1606.01341, 2016
1512016
述語の選択選好性に着目した名詞評価極性の獲得
東山昌彦， ヒガシヤママサヒコ
奈良先端科学技術大学院大学, 2008
1422008
What makes reading comprehension questions easier?
S Sugawara, K Inui, S Sekine, A Aizawa
arXiv preprint arXiv:1808.09384, 2018
1402018
Language models as knowledge bases: On entity representations, storage capacity, and paraphrased queries
B Heinzerling, K Inui
arXiv preprint arXiv:2008.09036, 2020
1392020
Experience mining: Building a large-scale database of personal experiences and opinions from web documents
K Inui, S Abe, K Hara, H Morita, C Sao, M Eguchi, A Sumida, K Murakami, ...
2008 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2008
1172008
Incorporating contextual cues in trainable models for coreference resolution
R Iida, K Inui, H Takamura, Y Matsumoto
Proceedings of the EACL Workshop on the Computational Treatment of Anaphora …, 2003
1062003
REALTIME QA: what's the answer right now?
J Kasai, K Sakaguchi, R Le Bras, A Asai, X Yu, D Radev, NA Smith, ...
Advances in Neural Information Processing Systems 36, 2024
1032024
An attentive neural architecture for fine-grained entity type classification
S Shimaoka, P Stenetorp, K Inui, S Riedel
arXiv preprint arXiv:1604.05525, 2016
992016
Exploiting syntactic patterns as clues in zero-anaphora resolution
R Iida, K Inui, Y Matsumoto
Proceedings of the 21st International Conference on Computational …, 2006
972006
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Artikelen 1–20