| Luke: deep contextualized entity representations with entity-aware self-attention I Yamada, A Asai, H Shindo, H Takeda, Y Matsumoto arXiv preprint arXiv:2010.01057, 2020 | 552 | 2020 |
| Joint learning of the embedding of words and entities for named entity disambiguation I Yamada, H Shindo, H Takeda, Y Takefuji arXiv preprint arXiv:1601.01343, 2016 | 371 | 2016 |
| Wikipedia2Vec: An efficient toolkit for learning and visualizing the embeddings of words and entities from Wikipedia I Yamada, A Asai, J Sakuma, H Shindo, H Takeda, Y Takefuji, ... arXiv preprint arXiv:1812.06280, 2018 | 183 | 2018 |
| Interpretable adversarial perturbation in input embedding space for text M Sato, J Suzuki, H Shindo, Y Matsumoto arXiv preprint arXiv:1805.02917, 2018 | 164 | 2018 |
| A span selection model for semantic role labeling H Ouchi, H Shindo, Y Matsumoto arXiv preprint arXiv:1810.02245, 2018 | 112 | 2018 |
| Learning distributed representations of texts and entities from knowledge base I Yamada, H Shindo, H Takeda, Y Takefuji Transactions of the Association for Computational Linguistics 5, 397-411, 2017 | 95 | 2017 |
| Bayesian symbol-refined tree substitution grammars for syntactic parsing H Shindo, Y Miyao, A Fujino, M Nagata Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012 | 71 | 2012 |
| Pattern matching method and pattern matching program H Shindo, A Sugiyama, T Sutani, H Morokuma, H Komuro US Patent 7,889,909, 2011 | 57 | 2011 |
| Wikipedia2vec: An optimized tool for learning embeddings of words and entities from wikipedia I Yamada, A Asai, H Shindo, H Takeda, Y Takefuji arXiv preprint arXiv:1812.06280, 2018 | 45 | 2018 |
| Pattern inspecting and measuring device and program T Minakawa, T Hiroi, T Yoshida, T Ninomiya, T Yamamoto, H Shindo, ... US Patent 9,858,659, 2018 | 40 | 2018 |
| Japanese text normalization with encoder-decoder model T Ikeda, H Shindo, Y Matsumoto Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT), 129-137, 2016 | 39 | 2016 |
| Joint transition-based dependency parsing and disfluency detection for automatic speech recognition texts M Yoshikawa, H Shindo, Y Matsumoto Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 39 | 2016 |
| Segment-level neural conditional random fields for named entity recognition M Sato, H Shindo, I Yamada, Y Matsumoto Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 36 | 2017 |
| Neural attentive bag-of-entities model for text classification I Yamada, H Shindo arXiv preprint arXiv:1909.01259, 2019 | 32 | 2019 |
| Global entity disambiguation with pretrained contextualized embeddings of words and entities I Yamada, K Washio, H Shindo, Y Matsumoto arXiv preprint arXiv:1909.00426, 2020 | 30 | 2020 |
| Neural modeling of multi-predicate interactions for Japanese predicate argument structure analysis H Ouchi, H Shindo, Y Matsumoto Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 30 | 2017 |
| Global entity disambiguation with BERT I Yamada, K Washio, H Shindo, Y Matsumoto arXiv preprint arXiv:1909.00426, 2019 | 29 | 2019 |
| High-precision contouring from SEM image in 32-nm lithography and beyond H Shindo, A Sugiyama, H Komuro, Y Hojo, R Matsuoka, JL Sturtevant, ... Design for Manufacturability through Design-Process Integration III 7275 …, 2009 | 28 | 2009 |
| Improving multi-word entity recognition for biomedical texts HA Nayel, HL Shashirekha, H Shindo, Y Matsumoto arXiv preprint arXiv:1908.05691, 2019 | 26 | 2019 |
| Joint prediction of morphosyntactic categories for fine-grained Arabic part-of-speech tagging exploiting tag dictionary information G Inoue, H Shindo, Y Matsumoto Proceedings of the 21st Conference on Computational Natural Language …, 2017 | 26 | 2017 |
