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 | 775 | 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 | 409 | 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 | 246 | 2018 |
Interpretable adversarial perturbation in input embedding space for text M Sato, J Suzuki, H Shindo, Y Matsumoto arXiv preprint arXiv:1805.02917, 2018 | 190 | 2018 |
A span selection model for semantic role labeling H Ouchi, H Shindo, Y Matsumoto arXiv preprint arXiv:1810.02245, 2018 | 117 | 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 | 103 | 2017 |
Global entity disambiguation with BERT I Yamada, K Washio, H Shindo, Y Matsumoto Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 76 | 2022 |
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 |
Joint transition-based dependency parsing and disfluency detection for automatic speech recognition texts M Yoshikawa Nara Institute of Science and Technology, 2017 | 48 | 2017 |
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 | 44 | 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 | 41 | 2018 |
Japanese text normalization with encoder-decoder model T Ikeda Nara Institute of Science and Technology, 2017 | 41 | 2017 |
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 | 38 | 2017 |
Neural attentive bag-of-entities model for text classification I Yamada, H Shindo arXiv preprint arXiv:1909.01259, 2019 | 36 | 2019 |
PDFAnno: a web-based linguistic annotation tool for pdf documents H Shindo, Y Munesada, Y Matsumoto Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 35 | 2018 |
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 | 32 | 2017 |
Length-controllable abstractive summarization by guiding with summary prototype I Saito, K Nishida, K Nishida, A Otsuka, H Asano, J Tomita, H Shindo, ... arXiv preprint arXiv:2001.07331, 2020 | 31 | 2020 |
Improving multi-word entity recognition for biomedical texts HA Nayel, HL Shashirekha, H Shindo, Y Matsumoto arXiv preprint arXiv:1908.05691, 2019 | 30 | 2019 |
Stochastic tokenization with a language model for neural text classification T Hiraoka, H Shindo, Y Matsumoto Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 30 | 2019 |