| CharacterBERT: Reconciling ELMo and BERT for word-level open-vocabulary representations from characters HE Boukkouri, O Ferret, T Lavergne, H Noji, P Zweigenbaum, J Tsujii arXiv preprint arXiv:2010.10392, 2020 | 192 | 2020 |
| A* CCG Parsing with a Supertag and Dependency Factored Model M Yoshikawa, H Noji, Y Matsumoto Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 86 | 2017 |
| Learning to select, track, and generate for data-to-text H Iso, Y Uehara, T Ishigaki, H Noji, E Aramaki, I Kobayashi, Y Miyao, ... Journal of Natural Language Processing 27 (3), 599-626, 2020 | 51 | 2020 |
| Adversarial training for cross-domain universal dependency parsing M Sato, H Manabe, H Noji, Y Matsumoto Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw …, 2017 | 50 | 2017 |
| Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction H Noji, Y Miyao, M Johnson Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 35 | 2016 |
| Learning with contrastive examples for data-to-text generation Y Uehara, T Ishigaki, K Aoki, H Noji, K Goshima, I Kobayashi, H Takamura, ... Proceedings of the 28th international conference on computational …, 2020 | 25 | 2020 |
| Effective batching for recurrent neural network grammars H Noji, Y Oseki Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 | 23 | 2021 |
| Jigg: a framework for an easy natural language processing pipeline H Noji, Y Miyao Proceedings of ACL-2016 System Demonstrations, 103-108, 2016 | 20 | 2016 |
| Controlling contents in data-to-document generation with human-designed topic labels K Aoki, A Miyazawa, T Ishigaki, T Aoki, H Noji, K Goshima, H Takamura, ... Computer Speech & Language 66, 101154, 2021 | 15 | 2021 |
| An analysis of the utility of explicit negative examples to improve the syntactic abilities of neural language models H Noji, H Takamura Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 15 | 2020 |
| Modeling human sentence processing with left-corner recurrent neural network grammars R Yoshida, H Noji, Y Oseki arXiv preprint arXiv:2109.04939, 2021 | 14 | 2021 |
| Optimal Shift-Reduce Constituent Parsing with Structured Perceptron LQ Thang, H Noji, Y Miyao Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 14 | 2015 |
| Generating racing game commentary from vision, language, and structured data T Ishigaki, G Topić, Y Hamazono, H Noji, I Kobayashi, Y Miyao, ... Proceedings of the 14th International Conference on Natural Language …, 2021 | 12 | 2021 |
| Improvements to the Bayesian Topic N-Gram Models. H Noji, D Mochihashi, Y Miyao Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 12 | 2013 |
| Combining axiom injection and knowledge base completion for efficient natural language inference M Yoshikawa, K Mineshima, H Noji, D Bekki Proceedings of the AAAI conference on artificial intelligence 33 (01), 7410-7417, 2019 | 11 | 2019 |
| Left-corner Transitions on Dependency Parsing H Noji, Y Miyao Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 10 | 2014 |
| Automatic generation of high quality CCGbanks for parser domain adaptation M Yoshikawa, H Noji, K Mineshima, D Bekki arXiv preprint arXiv:1906.01834, 2019 | 5 | 2019 |
| Multilingual back-and-forth conversion between content and function head for easy dependency parsing R Kohita, H Noji, Y Matsumoto Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 5 | 2017 |
| Market comment generation from data with noisy alignments Y Hamazono, Y Uehara, H Noji, Y Miyao, H Takamura, I Kobayashi Proceedings of the 13th International Conference on Natural Language …, 2020 | 4 | 2020 |
| Dynamic feature selection with attention in incremental parsing R Kohita, H Noji, Y Matsumoto Proceedings of the 27th International Conference on Computational …, 2018 | 3 | 2018 |
