| 2026 | ACL | Aggregate vs. Personalized Judges in Business Idea Evaluation: Evidence from Expert Disagreement. | Wataru Hirota, Tomoki Taniguchi, Tomoko Ohkuma, Kosuke Takahashi, Takahiro Omi, Kosuke Arima, Takuto Asakura, Chung-Chi Chen, Tatsuya Ishigaki |
| 2025 | IJCNLP | Can LLMs Learn from Their Mistakes? Self-Correcting Instruction Tuning for Named Entity Recognition. | Takumi Takahashi, Tomoki Taniguchi, Chencheng Zhu, Tomoko Ohkuma |
| 2025 | NLDB | Hybrid-SET: Few-Shot Example Selection Combining Sentence Similarity and Set Coverage - A Case Study on Material Science Domain. | Chencheng Zhu, Tomoki Taniguchi, Tomoko Ohkuma, Kazutaka Shimada |
| 2024 | WWW | Automatic Design Summary Generation with Generative AI. | Daisuke Ikoma, Eisuke Aoki, Tomoki Taniguchi, Shinya Suzuki, Tomoko Ohkuma |
| 2022 | EMNLP | Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation. | Toru Nishino, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma, Yuki Suzuki, Shoji Kido, Noriyuki Tomiyama |
| 2021 | EACL | Quantifying Appropriateness of Summarization Data for Curriculum Learning. | Ryuji Kano, Takumi Takahashi, Toru Nishino, Motoki Taniguchi, Tomoki Taniguchi, Tomoko Ohkuma |
| 2021 | ECIR | Multi-span Extractive Reading Comprehension Without Multi-span Supervision. | Takumi Takahashi, Motoki Taniguchi, Tomoki Taniguchi, Tomoko Ohkuma |
| 2021 | SAC | Incorporating multi-level positive feedback to session-based nearest-neighbor. | Qian Zhang, Masahiro Sato, Sho Takemori, Tomoko Ohkuma |
| 2021 | WSDM | Incorporating Wide Context Information for Deep Knowledge Tracing using Attentional Bi-interaction. | Raghava Krishnan, Janmajay Singh, Masahiro Sato, Qian Zhang, Tomoko Ohkuma |
| 2020 | COLING | A Large-Scale Corpus of E-mail Conversations with Standard and Two-Level Dialogue Act Annotations. | Motoki Taniguchi, Yoshihiro Ueda, Tomoki Taniguchi, Tomoko Ohkuma |
| 2020 | EMNLP | Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation. | Toru Nishino, Ryota Ozaki, Yohei Momoki, Tomoki Taniguchi, Ryuji Kano, Norihisa Nakano, Yuki Tagawa, Motoki Taniguchi, Tomoko Ohkuma, Keigo Nakamura |
| 2020 | IJCNLP | Identifying Implicit Quotes for Unsupervised Extractive Summarization of Conversations. | Ryuji Kano, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma |
| 2020 | RecSys | Unbiased Learning for the Causal Effect of Recommendation. | Masahiro Sato, Sho Takemori, Janmajay Singh, Tomoko Ohkuma |
| 2020 | SAC | Modeling user exposure with recommendation influence. | Masahiro Sato, Janmajay Singh, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma |
| 2020 | UAI | Submodular Bandit Problem Under Multiple Constraints. | Sho Takemori, Masahiro Sato, Takashi Sonoda, Janmajay Singh, Tomoko Ohkuma |
| 2019 | ECIR | Multiple Keyphrase Generation Model with Diversity. | Shotaro Misawa, Yasuhide Miura, Motoki Taniguchi, Tomoko Ohkuma |
| 2019 | EMNLP | Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning. | Toru Nishino, Shotaro Misawa, Ryuji Kano, Tomoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma |
| 2019 | RecSys | Uplift-based evaluation and optimization of recommenders. | Masahiro Sato, Janmajay Singh, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma |
| 2019 | WWW | Augmenting Knowledge Tracing by Considering Forgetting Behavior. | Koki Nagatani, Qian Zhang, Masahiro Sato, Yan-Ying Chen, Francine Chen, Tomoko Ohkuma |
| 2018 | COLING | Integrating Tree Structures and Graph Structures with Neural Networks to Classify Discussion Discourse Acts. | Yasuhide Miura, Ryuji Kano, Motoki Taniguchi, Tomoki Taniguchi, Shotaro Misawa, Tomoko Ohkuma |
| 2018 | EMNLP | Harnessing Popularity in Social Media for Extractive Summarization of Online Conversations. | Ryuji Kano, Yasuhide Miura, Motoki Taniguchi, Yan-Ying Chen, Francine Chen, Tomoko Ohkuma |
| 2018 | EMNLP | Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning. | Motoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma |
| 2018 | EMNLP | Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification. | Motoki Taniguchi, Tomoki Taniguchi, Takumi Takahashi, Yasuhide Miura, Tomoko Ohkuma |
| 2018 | IUI | Explaining Recommendations Using Contexts. | Masahiro Sato, Budrul Ahsan, Koki Nagatani, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma |
| 2017 | ACL | Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction. | Yasuhide Miura, Motoki Taniguchi, Tomoki Taniguchi, Tomoko Ohkuma |
| 2017 | EMNLP | Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity Recognition. | Shotaro Misawa, Motoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma |
| 2017 | IJCNLP | Using Social Networks to Improve Language Variety Identification with Neural Networks. | Yasuhide Miura, Tomoki Taniguchi, Motoki Taniguchi, Shotaro Misawa, Tomoko Ohkuma |
| 2013 | ACL | Incorporating Knowledge Resources to Enhance Medical Information Extraction. | Yasuhide Miura, Tomoko Ohkuma, Hiroshi Masuichi, Emiko Yamada Shinohara, Eiji Aramaki, Kazuhiko Ohe |
| 2003 | PACLIC | Japanese Parser on the basis of the Lexical-Functional Grammar Formalism and its Evaluation. | Hiroshi Masuichi, Tomoko Ohkuma, Hiroki Yoshimura, Yasunari Harada |
| 2003 | PACLIC | The Treatment of Japanese Focus Particles Based on Lexical-Functional Grammar. | Tomoko Ohkuma, Hiroshi Masuichi, Hiroki Yoshimura, Yasunari Harada |