| 2026 | EACL | Domain Adaptation of Image Encoder for Multimodal Manga Translation. | Kota Manabe, Tomoyuki Kajiwara, Takashi Ninomiya, Isao Goto, Shonosuke Ishiwatari, Hiroshi Noji |
| 2023 | EACL | How Much Syntactic Supervision is "Good Enough"? | Hiroshi Noji, Yohei Oseki |
| 2021 | ACL | Effective Batching for Recurrent Neural Network Grammars. | Hiroshi Noji, Yohei Oseki |
| 2021 | EMNLP | Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars. | Ryo Yoshida, Hiroshi Noji, Yohei Oseki |
| 2021 | INLG | Generating Racing Game Commentary from Vision, Language, and Structured Data. | Tatsuya Ishigaki, Goran Topic, Yumi Hamazono, Hiroshi Noji, Ichiro Kobayashi, Yusuke Miyao, Hiroya Takamura |
| 2020 | ACL | An Analysis of the Utility of Explicit Negative Examples to Improve the Syntactic Abilities of Neural Language Models. | Hiroshi Noji, Hiroya Takamura |
| 2020 | COLING | CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters. | Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, Hiroshi Noji, Pierre Zweigenbaum, Jun'ichi Tsujii |
| 2020 | COLING | An empirical analysis of existing systems and datasets toward general simple question answering. | Namgi Han, Goran Topic, Hiroshi Noji, Hiroya Takamura, Yusuke Miyao |
| 2020 | COLING | Learning with Contrastive Examples for Data-to-Text Generation. | Yui Uehara, Tatsuya Ishigaki, Kasumi Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao |
| 2020 | INLG | Market Comment Generation from Data with Noisy Alignments. | Yumi Hamazono, Yui Uehara, Hiroshi Noji, Yusuke Miyao, Hiroya Takamura, Ichiro Kobayashi |
| 2019 | AAAI | Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. | Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki |
| 2019 | ACL | Learning to Select, Track, and Generate for Data-to-Text. | Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura |
| 2019 | ACL | Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. | Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki |
| 2019 | INLG | Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels. | Kasumi Aoki, Akira Miyazawa, Tatsuya Ishigaki, Tatsuya Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao |
| 2018 | COLING | Dynamic Feature Selection with Attention in Incremental Parsing. | Ryosuke Kohita, Hiroshi Noji, Yuji Matsumoto |
| 2018 | COLING | An Empirical Investigation of Error Types in Vietnamese Parsing. | Quy Nguyen, Yusuke Miyao, Hiroshi Noji, Nhung Nguyen |
| 2018 | NAACL | Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning. | Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki |
| 2017 | ACL | A* CCG Parsing with a Supertag and Dependency Factored Model. | Masashi Yoshikawa, Hiroshi Noji, Yuji Matsumoto |
| 2017 | CoNLL | Adversarial Training for Cross-Domain Universal Dependency Parsing. | Motoki Sato, Hitoshi Manabe, Hiroshi Noji, Yuji Matsumoto |
| 2017 | EACL | Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing. | Ryosuke Kohita, Hiroshi Noji, Yuji Matsumoto |
| 2017 | IJCNLP | Can Discourse Relations be Identified Incrementally? | Frances Yung, Hiroshi Noji, Yuji Matsumoto |
| 2016 | ACL | Jigg: A Framework for an Easy Natural Language Processing Pipeline. | Hiroshi Noji, Yusuke Miyao |
| 2016 | EMNLP | Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction. | Hiroshi Noji, Yusuke Miyao, Mark Johnson |
| 2015 | ACL | Optimal Shift-Reduce Constituent Parsing with Structured Perceptron. | Le Quang Thang, Hiroshi Noji, Yusuke Miyao |
| 2014 | COLING | Left-corner Transitions on Dependency Parsing. | Hiroshi Noji, Yusuke Miyao |
| 2013 | EMNLP | Improvements to the Bayesian Topic N-Gram Models. | Hiroshi Noji, Daichi Mochihashi, Yusuke Miyao |