Hidetaka Kamigaito's Home Page

• Natural Language Processing (NLP)

  • Machine Translation, Summarization, Ad-text Generation, Syntactic Parsing, and Knowledge Graph Completion.

• Machine Learning (ML)

  • Representation Learning and Loss functions.

Career

• • April 2022-onward, Associate Professor of Watanabe Lab in Nara Institute of Science and Technology (NAIST).

  • April 2018-March 2022, Assistant Professor of Okumura-Takamura Lab in Tokyo Institute of Technology (Titech).

  • December 2018-September 2020, Technical Advisor at M0mentum K.K.

  • April 2017-March 2018, Research Associate at NTT CS Labs. 

  • April 2015-March 2017, Technical Advisor at m0mentum.

  • August 2014-March 2015, Fixed-term Technician at National Institute of Information and Communications Technology, Japan (NICT)

Education

• • Ph.D. (Engineering), Supervisor: Hiroya Takamura, March 2017

    • April 2014-March 2017, Tokyo Institute of Technology, Japan

      • Department of Computational Intelligence and Systems Science

  • Master of Engineering, Supervisor: Hiroya Takamura and Manabu Okumura, March 2014

    • April 2012-March 2014, Tokyo Institute of Technology, Japan

      • Department of Computational Intelligence and Systems Science

  • Bachelor of Engineering, Supervisor: Haruo Yokota, March 2012

    • April 2008-March 2012, Tokyo Institute of Technology, Japan

      • Department of Computer Science

Internship

• • NTT Communication Science Laboratories, Japan

    • October 2015-December 2015, Instructor: Katsuhiko Hayashi

  • National Institute of Information and Communications Technology, Japan (NICT)

    • August 2014-March 2015, Instructor: Taro Watanabe

    • July 2013-September 2013, Instructor: Taro Watanabe

Awards

• 言語処理学会 第30回年次大会 シェルパ・アンド・カンパニー賞

• 情報処理学会 第258回自然言語処理研究会 優秀研究賞

• 情報処理学会 第257回自然言語処理研究会 優秀研究賞

• 言語処理学会 第29回年次大会 委員特別賞

• 情報処理学会 第67回エンタテインメントコンピューティング研究会 研究奨励賞

• 言語処理学会 第28回年次大会 論文賞 (2件)

• 言語処理学会 第28回年次大会 優秀賞

• 言語処理学会 第28回年次大会 リーガルフォース賞

• 言語処理学会 第27回年次大会 優秀賞

• 言語処理学会 第27回年次大会 委員特別賞

• 情報処理学会 2020年度（令和2年度）山下記念研究賞

• 情報処理学会 第243回自然言語処理研究会 優秀研究賞

• 言語処理学会 第24回年次大会 優秀賞

• The 14th International Conference on Information Integration and Web-based Applications & Services. (IIWAS2012), Best Paper Award

Journals

• • Zhiyu Guo, Hidetaka Kamigaito, Taro Watanabe. 2025. "Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models, " Transactions on Machine Learning Research (TMLR) [paper:bib].

  • 坂井優介, 上垣外英剛, 林克彦, 渡辺太郎. 2024. "未知の知識に対する事前学習済み言語モデルが持つ推論能力の調査, " Journal of Natural Language Processing Vol.31 No.4 December 2024. pp. 1427-1457 [paper:bib].

  • Huy Hien Vu, Hidetaka Kamigaito, Taro Watanabe. 2024. "Context-Aware Machine Translation with Source Coreference Explanation," Transactions of the Association for Computational Linguistics (2024) 12: 856–874. [paper:bib].

  • Ying Zhang, Hidetaka Kamigaito, Manabu Okumura. 2024. "Bidirectional Transformer Reranker for Grammatical Error Correction," Journal of Natural Language Processing Vol.31 No.1 March 2024. pp. 3-46 [paper:bib].

  • Thodsaporn Chay-intr, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura. 2023. "LATTE: Lattice ATTentive Encoding for Character-based Word Segmentation," Journal of Natural Language Processing Vol.30 No.2 June 2023. pp. 456-488 [paper:bib].

  • Ying Zhang, Hidetaka Kamigaito, Tatsuya Aoki, Hiroya Takamura, Manabu Okumura. 2023. "Generic Mechanism for Reducing Repetitions in Encoder-Decoder Models," Journal of Natural Language Processing Vol.30 No.2 June 2023. pp. 401-431 [paper:bib].

  • Thodsaporn Chay-intr, Hidetaka Kamigaito, Manabu Okumura. 2023. "Character-based Thai Word Segmentation with Multiple Attentions," Journal of Natural Language Processing Vol.30 No.2 June 2023. pp. 372-400 [paper:bib].

  • Jingyi You, Dongyuan Li, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura. 2023. "Joint Learning-based Heterogeneous Graph Attention Network for Timeline Summarization," Journal of Natural Language Processing Vol.30 No.1 March 2023. pp. 184-214 [paper:bib].

  • Yukun Feng, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura. 2023. "A Simple and Effective Method for Injecting Word-level Information into Character-aware Neural Language Models," Journal of Natural Language Processing Vol.30 No.1 March 2023. pp. 156-183 [paper:bib].

  • 小林尚輝, 平尾努, 上垣外英剛, 奥村学, 永田昌明. 2022. "疑似正解データを活用したニューラル修辞構造解析" Journal of Natural Language Processing Vol.29 No.3 June 2022. pp. 875-900 [paper:bib].

  • Yukun Feng, Chenlong Hu, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura. 2022. "A Simple and Effective Usage of Word Clusters for CBOW Model," Journal of Natural Language Processing Vol.29 No.3 June 2022. pp. 785-806 [paper:bib].

  • Jingun Kwon, Kobayashi Naoki, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura. 2022. "Joint Modeling of Emoji Position and Its Label for Better Understanding in Social Media," Journal of Natural Language Processing Vol.29 No.2 June 2022. pp. 467-492 [paper:bib].

  • Lya Hulliyyatus Suadaa, Hidetaka Kamigaito, Manabu Okumura, Hiroya Takamura. 2021. "Metric-Type Identification for Multilevel Header Numerical Tables in Scientific Papers," Journal of Natural Language Processing Vol.28 No.4 June 2021. pp. 1247-1269 [paper:bib].

  • 村上 聡一朗, 田中 天, 萩行 正嗣, 上垣外 英剛, 船越 孝太郎, 高村 大也, 奥村 学. 2021. "数値気象予報からの天気予報コメントの自動生成" Journal of Natural Language Processing Vol.28 No.4 June 2021. pp. 1210-1246 (論文賞) [paper:bib].

  • Chenlong Hu, Yukun Feng, Hidetaka Kamigaito, Hiroya Takamura and Manabu Okumura. 2021. "One-class Text Classification with Multi-modal Deep Support Vector Data Description," Journal of Natural Language Processing Vol.28 No.4 June 2021. pp. 1053-1088 [paper:bib].

  • Hidetaka Kamigaito, Katsuhiko Hayashi, Hirao Tsutomu, Masaaki Nagata and Manabu Okumura. 2021. "Effectiveness of Syntactic Dependency Information for Higher-Order Syntactic Attention Network," Journal of Natural Language Processing Vol.28 No.2 June 2021. pp. 321-349 (論文賞) [paper:bib].

  • Hidetaka Kamigaito, Taro Watanabe, Hiroya Takamura, Manabu Okumura and Eiichiro Sumita. 2017.  "Hierarchical Back-off Modeling of Hiero Grammar based on Non-parametric Bayesian Model," Journal of Information Processing Vol. 25 October 2017. pp.912-923 [paper:bib].

  • Hidetaka Kamigaito, Akihiro Tamura, Hiroya Takamura, Manabu Okumura and Eiichiro Sumita. 2017. "Unsupervised Word Alignment by Agreement Under ITG Constraint," Journal of Information Processing Vol. 25 August 2017. pp.831-840 [paper:bib].

  • Hidetaka Kamigaito, Taro Watanabe, Hiroya Takamura, Manabu Okumura and Eiichiro Sumita. 2016. "Unsupervised Word Alignment Using Frequency Constraint in Posterior Regularized EM," Journal of Natural Language Processing Vol.23 No.4 September 2016. [paper:bib].

  • Yousuke Watanabe, Hidetaka Kamigaito, Haruo Yokota. 2013. "Similarity search for office XML documents based on style and structure data," International Journal of Web Information Systems 9.2 (2013): pp.100-116. [paper:bib].

Proceedings

• • Hidetaka Kamigaito, Hiroyuki Deguchi, Yusuke Sakai, Katsuhiko Hayashi, Taro Watanabe. 2025. "Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding", In Proceedings of the 2025 Association for Computational Linguistics (ACL 2025), long paper. (To appear) [arXiv]

  • Boxuan Lyu, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura. 2025. "Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation", In Proceedings of the 2025 Association for Computational Linguistics (ACL 2025), long paper. (To appear)

  • Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe. 2025. "Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability", In Proceedings of the 2025 Association for Computational Linguistics (ACL 2025), long paper. (To appear)

  • Yusuke Ide, Joshua Tanner, Adam Nohejl, Jacob Hoffman, Justin Vasselli, Hidetaka Kamigaito, Taro Watanabe. 2025. "CoAM: Corpus of All-Type Multiword Expressions", In Proceedings of the 2025 Association for Computational Linguistics (ACL 2025), long paper. (To appear)

  • Shintaro Ozaki, Kazuki Hayashi, Miyu Oba, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe, Katsuhiko Hayashi, Taro Watanabe. 2025. "BQA: Body Language Question Answering Dataset for Video Large Language Models", In Proceedings of the 2025 Association for Computational Linguistics (ACL 2025), short paper. (To appear)

  • Soichiro Murakami, Peinan Zhang, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura. 2025. "AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset", In Findings of the 2025 Association for Computational Linguistics (ACL 2025 Findings), long paper. (To appear)

  • Haruki Sakajo, Yusuke Ide, Justin Vasselli, Yusuke Sakai, Yingtao Tian, Hidetaka Kamigaito, Taro Watanabe. 2025. "Dictionaries to the Rescue: Cross-Lingual Vocabulary Transfer for Low-Resource Languages Using Bilingual Dictionaries" In Findings of the 2025 Association for Computational Linguistics (ACL 2025 Findings), long paper. (To appear)

  • Siyuan Feng, Teruya Yoshinaga, Katsuhiko Hayashi, Koki Washio, Hidetaka Kamigaito. 2025. "How Panel Layouts Define Manga: Insights from Visual Ablation Experiments", In Proceedings of the 46th Annual Meeting of the Cognitive Science Society. (CogSci 2025) (To appear) [arXiv]

  • Haruki Sakajo, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe. 2025. "Tonguescape: Exploring Language Models Understanding of Vowel Articulation", In Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2025), long paper. [paper:bib]

  • Yusuke Ide, Yuto Nishida, Justin Vasselli, Miyu Oba, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe. 2025. "How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments", In Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2025), long paper. [paper:bib]

  • Yuto Nishida, Makoto Morishita, Hiroyuki Deguchi, Hidetaka Kamigaito, Taro Watanabe. 2025. "Long-Tail Crisis in Nearest Neighbor Language Models", In Findings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2025 Findings), long paper. [paper:bib]

  • Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe. 2025. "Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks", In Findings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2025 Findings), long paper. [paper:bib]

  • Shintaro Ozaki, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe. 2025. "Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models", In Findings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2025 Findings), long paper. [paper:bib]

  • Soichiro Murakami, Peinan Zhang, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura. 2025. "AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts", In Findings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2025 Findings), long paper. [paper:bib]

  • Juseon-Do, Jaesung Hwang, Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura. 2025. "Considering Length Diversity in Retrieval-Augmented Summarization", In Findings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2025 Findings), short paper. [paper:bib]

  • Toma Suzuki, Ayuki Katayama, Seiji Gobara, Ryo Tsujimoto, Hibiki Nakatani, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, and Taro Watanabe. 2025. "Reliability of Distribution Predictions by LLMs: Insights from Counterintuitive Pseudo-Distributions", In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop). [paper:bib]

  • Seiji Gobara, Hidetaka Kamigaito, and Taro Watanabe. 2025. "Speaker Identification and Dataset Construction Using LLMs: A Case Study on Japanese Narratives", In Proceedings of the The 7th Workshop on Narrative Understanding. [paper:bib]

  • Kazuki Hayashi, Kazuma Onishi, Toma Suzuki, Yusuke Ide, Seiji Gobara, Shigeki Saito, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, and Taro Watanabe. 2025. "IRR: Image Review Ranking Framework for Evaluating Vision-Language Models", In Proceedings of The 2025 International Conference on Computational Linguistics (COLING 2025), short paper [paper:bib].

  • Iqra Ali, Jesse Atuhurra, Hidetaka Kamigaito, and Taro Watanabe. 2025. "HLU: Human Vs LLM Generated Text Detection Dataset for Urdu at Multiple Granularities", In Proceedings of The 2025 International Conference on Computational Linguistics (COLING 2025), short paper. [paper:bib]

  • Seiji Gobara, Hidetaka Kamigaito, and Taro Watanabe. 2024. "Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?", In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation (PACLIC 2024), long paper (To appear) [arXiv]. 

  • Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, and Taro Watanabe. 2024. "mbrs: A Library for Minimum Bayes Risk Decoding", In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP2024 system demonstration). [paper:bib].

  • Yusuke Sakai, Adam Nohejl, Jiangnan Hang, Hidetaka Kamigaito, and Taro Watanabe. 2024. "Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates", In Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP 2024). [paper:bib].

  • Yusuke Sakai, Mana Makinae, Hidetaka Kamigaito, and Taro Watanabe. 2024. "Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair", In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), long paper. [paper:bib].

  • Mana Makinae, Yusuke Sakai, Hidetaka Kamigaito, and Taro Watanabe. 2024. "Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model," In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), long paper. [paper:bib].

  • Zhe Cao, Zhi Qu, Hidetaka Kamigaito, and Taro Watanabe. 2024. "Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation," In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), long paper [paper:bib].

  • Wataru Hashimoto, Hidetaka Kamigaito, and Taro Watanabe. 2024. "Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?," In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), long paper [paper:bib].

  • Zhiyu Guo, Hidetaka Kamigaito, and Taro Watanabe. 2024. "Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also Matters," In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), short paper [paper:bib].

  • Tsutomu Hirao, Naoki Kobayashi, Hidetaka Kamigaito, Manabu Okumura, and Akisato Kimura. 2024. "Video Discourse Parsing and Its Application to Multimodal Summarization: A Dataset and Baseline Approaches," In Findings of the Association for Computational Linguistics: EMNLP 2024 (EMNLP 2024 Findings), long paper [paper:bib].

  • Huayang Li, Deng Cai, Zhi Qu, Qu Cui, Hidetaka Kamigaito, Lemao Liu, and Taro Watanabe. 2024. "Cross-lingual Contextualized Phrase Retrieval," In Findings of the Association for Computational Linguistics: EMNLP 2024 (EMNLP 2024 Findings), long paper [paper:bib].

  • Hidetaka Kamigaito, Soichiro Murakami, Zhang Peinan, Hiroya Takamura, and Manabu Okumura. 2024 "Generating Attractive Ad Text by Facilitating the Reuse of Landing Page Expressions," In Proceedings of the 17th International Natural Language Generation Conference (INLG 2024), long paper. [paper:bib]

  • Ken Nishida, Kojiro Machi, Kazuma Onishi, Katsuhiko Hayashi, Hidetaka Kamigaito. 2024 "Multi-label Learning with Random Circular Vectors," In Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP 2024), long paper. [paper:bib]

  • Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe. 2024 "Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding," In Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP 2024), long paper. [paper:bib]

  • Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi and Taro Watanabe. 2024 "Towards Artwork Explanation in Large-scale Vision Language Models," In Proceedings of The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), short paper. [paper:bib]

  • Yusuke Sakai, Hidetaka Kamigaito and Taro Watanabe. 2024 "mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans," In Findings of The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), long paper. [paper:bib]

  • Juseon-Do, Jingun Kwon, Hidetaka Kamigaito and Manabu Okumura. 2024 "InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models", In Findings of The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), long paper. [paper:bib]

  • Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe, Hideki Tanaka and Masao Utiyama. 2024 "Centroid-Based Efficient Minimum Bayes Risk Decoding," In Findings of The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), short paper. [paper:bib]

  • Ye Xiong, Hidetaka Kamigaito, Soichiro Murakami, Peinan Zhang, Hiroya Takamura and Manabu Okumura. 2024. "Grasping Both Query Relevance and Essential Content or Query-focused Summarization," In Proceedings of The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) short paper. [paper:bib]

  • Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi and Taro Watanabe. 2024. "Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?" In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2024), long paper. [paper:bib]

  • Frederikus Hudi, Zhi Qu, Hidetaka Kamigaito and Taro Watanabe. 2024. "Disentangling Pretrained Representation to Leverage Low-Resource Languages in Multilingual Machine Translation," In Proceedings of The 2024 Joint International Conference on Computational Linguistics, Language Resources, and Evaluation (LREC-COLING 2024), short paper. [paper:bib]

  • Ali Iqra, Hidetaka Kamigaito, and Taro Watanabe. 2024. "Monolingual Paraphrase Detection Corpus for Low Resource Pashto Language at Sentence Level," In Proceedings of The 2024 Joint International Conference on Computational Linguistics, Language Resources, and Evaluation (LREC-COLING 2024), short paper. [paper:bib]

  • Yuto Nishida, Makoto Morishita, Hidetaka Kamigaito and Taro Watanabe. 2024. "Generating Diverse Translation with Perturbed kNN-MT",  In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (EACL2024 SRW), long paper. [paper:bib]

  • Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito and Manabu Okumura. 2024. "Can we obtain significant success in RST discourse parsing by using Large Language Models?,"  In Proceedings of The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL2024), long paper. [paper:bib]

  • Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi and Taro Watanabe. 2023.  "Model-based Subsampling for Knowledge Graph Completion," In Proceedings of The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023), long paper. [paper]

  • Hidetaka Kamigaito, Katsuhiko Hayashi and Taro Watanabe. 2023. "Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models," In Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), short paper. [paper:code]

  • Ying Zhang, Hidetaka Kamigaito and Manabu Okumura. 2023. "Bidirectional Transformer Reranker for Grammatical Error Correction," In Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 Findings), long paper, (2023). [paper]

  • Aru Maekawa, Hidetaka Kamigaito, Kotaro Funakoshi and Manabu Okumura. 2023. "Generative Replay with Hippocampal Memory Indexing for Continual Language Learning,"  In Proceedings of The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL2023). [paper:bib]

  • Jingun Kwon, Hidetaka Kamigaito, Young-In Song and Manabu Okumura. 2023. "Hierarchical Label Generation for Text Classification,"  In Findings of The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL2023 Findings). [paper:bib]

  • Jingun Kwon, Hidetaka Kamigaito and Manabu Okumura. 2023. "Abstractive Document Summarization with Summary-length Prediction,"  In Findings of The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL2023 Findings). [paper:bib:code]

  • Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura and Masaaki Nagata. 2022. "A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing," In Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings), (2022). [paper:bib]

  • Hidetaka Kamigaito, Katsuhiko Hayashi. 2022. "Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning," In Proceedings of The 39th International Conference on Machine Learning (ICML 2022). [paper:bib:erratum:code]

  • Jingyi You, Dongyuan Li, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura "Joint Learning-based Heterogeneous Graph Attention Network for Timeline Summarization," In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2022), long paper.  [paper:bib]

  • Toshiki Kawamoto, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura "Generating Repetitions with Appropriate Repeated Words," In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2022), short paper.  [paper:bib]

  • Soichiro Murakami, Peinan Zhang, Sho Hoshino, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura. "Aspect-based Analysis of Advertising Appeals for Search Engine Advertising," In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers (NAACL2022 Industry Papers). [paper:bib]

  • Jingyi You, Chenlong Hu, Hidetaka Kamigaito, Kotaro Funakoshi and Manabu Okumura. 2021.  "Robust Dynamic Clustering for Temporal Networks," In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), full paper. [paper:bib]

  • Ying Zhang, Hidetaka Kamigaito and Manabu Okumura. 2021. "A Language Model-based Generative Classifier for Sentence-level Discourse Parsing," In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp. 2432-2446, long paper, (2021). [paper:bib]

  • Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito and Manabu Okumura. 2021. "Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer," In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp. 4039-4044, short paper, (2021). [paper:bib]

  • Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito, Hiroya Takamura and Manabu Okumura. 2021. "Making Your Tweets More Fancy: Emoji Insertion to Texts," In Proceedings of the International Conference Recent Advances in Natural Language Processing (RANLP 2021), pp. 770-779, (2021).  [paper:bib]

  • Yukun Feng, Chenlong Hu, Hidetaka Kamigaito, Hiroya Takamura and Manabu Okumura. 2021. "Improving Character-Aware Neural Language Model by Warming Up Character Encoder under Skip-gram Architecture," In Proceedings of the International Conference Recent Advances in Natural Language Processing (RANLP 2021), pp. 421-427, (2021).  [paper:bib]

  • Thodsaporn Chay-intr, Hidetaka Kamigaito and Manabu Okumura. 2021. "Character-based Thai Word Segmentation with Multiple Attentions," In Proceedings of the International Conference Recent Advances in Natural Language Processing (RANLP 2021), pp. 264-273, (2021).  [paper:bib]

  • Ying Zhang, Hidetaka Kamigaito, Tatsuya Aoki, Hiroya Takamura and Manabu Okumura. 2021. "Generic Mechanism for Reducing Repetitions in Encoder-Decoder Models," In Proceedings of the International Conference Recent Advances in Natural Language Processing (RANLP 2021), pp. 1606-1615, (2021).  [paper:bib]

  • Jingyi You, Chenlong Hu, Hidetaka Kamigaito, Hiroya Takamura and Manabu Okumura. 2021. "Abstractive Document Summarization with Word Embedding Reconstruction,"  In Proceedings of the International Conference Recent Advances in Natural Language Processing (RANLP 2021), pp. 1586-1596, (2021).  [paper:bib]

  • Hidetaka Kamigaito, Katsuhiko Hayashi. 2021. "Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With a Case Study for Knowledge Graph Embedding," In Proceedings of the 2021 Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), pp. 5517-5531, (2021). [paper:bib:code]

  • Lya Hulliyyatus Suadaa, Hidetaka Kamigaito, Hiroya Takamura, Kotaro Funakoshi and Manabu Okumura. 2021. "Towards Table-to-Text Generation with Numerical Reasoning," In Proceedings of the 2021 Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), pp. 1072-1086, (2021). [paper:bib]

  • Yijin Xiong, Yukun Feng, Hao Wu, Hidetaka Kamigaito and Manabu Okumura 2021. "Fusing Label Embedding into BERT: An Efficient Improvement for Text Classification," In Findings of the Association for Computational Linguistics: ACL-IJCNLP2021 (ACL-IJCNLP2021 Findings), pp. 1743-1750, (2021). [paper:bib]

  • Hidetaka Kamigaito*, Peinan Zhang*, Hiroya Takamura, Manabu Okumura. 2021. "An Empirical Study of Generating Texts for Search Engine Advertising," In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers (NAACL2021 Industry Papers), pp. 255-262, (2021). (*: equal contribution) [paper:bib].

  • Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura and Masaaki Nagata. 2021. "Improving Neural RST Parsing Model with Silver Agreement Subtrees," In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2021), long paper, pp. 1600-1612, (2021). [paper:bib]

  • Hidetaka Kamigaito, Jingun Kwon, Young-In Song, and Manabu Okumura. 2021. "A New Surprise Measure for Extracting Interesting Relationships between Persons," In Proceedings of the System Demonstrations of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL2021 system demonstration), pp. 231-237, (2021). [paper:bib]

  • Soichiro Murakami, Sora Tanaka, Masatsugu Hangyo, Hidetaka Kamigaito, Kotaro Funakoshi, Hiroya Takamura and Manabu Okumura. 2021. "Generating Weather Comments from Meteorological Simulations," In Proceedings of The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL2021), pp. 1462-1473, (2021). [paper:bib]

  • Lya Hulliyyatus Suadaa, Hiroya Takamura, Hidetaka Kamigaito and Manabu Okumura. 2021. "Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers", In Proceedings of The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL2021), pp. 3062-3071, (2021). [paper:bib]

  • Chenlong Hu, Yukun Feng, Hidetaka Kamigaito, Hiroya Takamura and Manabu Okumura. 2021. "One-class Text Classification with Multi-Modal Deep Support Vector Data Description," In Proceedings of The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL2021), pp. 3378-3390, (2021). [paper:bib]

  • Jingun Kwon, Hidetaka Kamigaito, Young-In Song, and Manabu Okumura . 2020. "Hierarchical Trivia Fact Extraction from Wikipedia Articles," In Proceedings of The 28th International Conference on Computational Linguistics (COLING2020), pp. 4825-4834, (2020). [paper:bib]

  • Shogo Fujita, Hidetaka Kamigaito, Hiroya Takamura, and Manabu Okumura. 2020. "Pointing to Subwords for Generating Function Names in Source Code," In Proceedings of The 28th International Conference on Computational Linguistics (COLING2020), pp. 316-327, (2020). [paper:bib]

  • Riku Kawamura, Tatsuya Aoki, Hidetaka Kamigaito, Hiroya Takamura, and Manabu Okumura. 2020. "Neural text normalization leveraging similarities of strings and sounds," In Proceedings of The 28th International Conference on Computational Linguistics (COLING2020), pp. 2126-2131, (2020). [paper:bib]

  • Yukun Feng, Chenlong Hu, Hidetaka Kamigaito, Hiroya Takamura, and Manabu Okumura. 2020.  "A Simple and Effective Usage of Word Clusters for CBOW Model," In Proceedings of The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2020), pp. 80-86, (2020). [paper:bib]

  • Soichiro Fujita, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata. 2020.  "SODA: Story Oriented Dense Video Captioning Evaluation Framework," In Proceedings of the 16th European Conference on Computer Vision (ECCV 2020), pp. 517-531, (2020). [paper:bib:code]

  • Hidetaka Kamigaito and Manabu Okumura. 2019. "Syntactically Look-Ahead Attention Network for Sentence Compression," In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), pp. 8051-8057, (2020).  [paper:bib:code]

  • Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura and Masaaki Nagata. 2020. "Top-down RST Parsing Utilizing Granularity Levels in Documents," In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), pp. 8099-8106, (2020). [paper:bib:code]

  • Yukun Feng, Hidetaka Kamigaito, Hiroya Takamura and Manabu Okumura. 2019. "A Simple and Effective Method for Injecting Word-level Information into Character-aware Neural Language Models," In Proceedings of the SIGNLL Conference on Computational Natural Language Learning 2019 (CoNLL 2019), long paper, pp. 920-928, (2019). [paper:bib]

  • Takumi Ohtani, Hidetaka Kamigaito, Masaaki Nagata, Mababu Okumura. 2019. "Context-aware Neural Machine Translation with Coreference Information," In Proceedings of the 4th Workshop on Discourse in Machine Translation (DiscoMT 2019), pp. 45-50, Hong Kong, November 2019. [paper:bib]

  • Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura, Hidetaka Kamigaito, Manabu Okumura and Masaaki Nagata. 2019. "Split or Merge: Which is Better for Unsupervised RST Parsing?," In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), short paper, pp. 5801-5806, (2019). [paper:bib]

  • Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito, Hiroya Takamura and Manabu Okumura. 2019. "Bridging between emojis and kaomojis by learning their representations from linguistic and visual information," In Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pp. 116-123, Thessaloniki, Greece, 2019. [paper:bib] 

  • Tatsuya Ishigaki, Hidetaka Kamigaito, Hiroya Takamura and Manabu Okumura. 2019.  "Discourse-aware Hierarchical Attention Network for Extractive Single-Document Summarization," In Proceedings of the International Conference Recent Advances in Natural Language Processing (RANLP 2019), long paper, pp. 497-506, (2019). [paper:bib]

  • Tsutomu Hirao, Hidetaka Kamigaito and Masaaki Nagata  2018. "Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries," In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), long paper, pp. 4177–4186, Brussels, Belgium, October 2018. [paper:bib]

  • Jun Suzuki, Sho Takase, Hidetaka Kamigaito, Makoto Morishita and Masaaki Nagata. 2018. "An Empirical Study of Building a Strong Baseline for Constituency Parsing," In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (ACL 2018), short paper, pp. 612-618, Melbourne, Australia, July 2018. [paper:bib]

  • Hidetaka Kamigaito, Katsuhiko Hayashi, Hirao Tsutomu and Masaaki Nagata. 2018. "Higher-order Syntactic Attention Network for Long Sentence Compression," In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2018), long paper, pp. 1716-1726, New Orleans, Los Angeles, June 2018. [paper:bib] [journal version:bib]

  • Hidetaka Kamigaito, Katsuhiko Hayashi, Hirao Tsutomu, Masaaki Nagata, Takamura and Manabu Okumura . 2017. "Supervised Attention for Sequence-to-Sequence Constituency Parsing," In Proceedings of the 8th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) (IJCNLP 2017), pp. 7-12, Taipei, Taiwan, November 2017. [paper:bib]

  • Hidetaka Kamigaito, Akihiro Tamura, Hiroya Takamura, Manabu Okumura and Eiichiro Sumita. 2016. "Unsupervised Word Alignment by Agreement Under ITG Constraint," In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), pp.1998-2004, Austin, Texas, November 2016. [paper:bib] [journal version:bib]

  • Hidetaka Kamigaito, Taro Watanabe, Hiroya Takamura, Manabu Okumura and Eiichiro Sumita. 2015. "Hierarchical Back-off Modeling of Hiero Grammar based on Non-parametric Bayesian Model," In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), pp.1217-1227, Lisbon, Portugal, September 2015. [paper:bib] [journal version:bib]

  • Hidetaka Kamigaito, Taro Watanabe, Hiroya Takamura and Manabu Okumura. 2014. "Unsupervised Word Alignment Using Frequency Constraint in Posterior Regularized EM," In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), pp.153-158, Doha, Qatar, October 2014. [paper:bib] [journal_version:bib]

  • Yousuke Watanabe, Hidetaka Kamigaito and Haruo Yokota. 2012. "Style-based similarity search for office XML documents," In Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services. ACM, 2012. (Best Paper Award) [paper:bib] [journal version:bib]

Not Refereed

• • 出口祥之, 坂井優介, 上垣外英剛, 渡辺太郎. 2024. "疑似参照訳文ベクトルの重心に基づく高速なニューラル最小ベイズリスク復号", 言語処理学会第30回年次大会 (NLP 2024). (シェルパ・アンド・カンパニー賞)

  • 郷原聖士, 上垣外英剛, 渡辺太郎. 2024. "LLM はユーザーに適したテキストの難易度を暗黙的に考慮しているのか？", 言語処理学会第30回年次大会 (NLP 2024).

  • 平野颯, 上垣外英剛, 渡辺太郎. 2024. "深層学習モデルにおける言語特徴分布に関する研究" , 言語処理学会第30回年次大会 (NLP 2024).

  • 林和樹, 坂井優介, 上垣外英剛, 林克彦, 渡辺太郎. 2024. "Large-scale Vision Language Modelによる芸術作品に対する説明の生成", 言語処理学会第30回年次大会 (NLP 2024).

  • 齊藤成輝, 林和樹, 井手佑翼, 坂井優介, 鈴木刀磨, 郷原聖士, 大西雄真, 上垣外英剛, 林克彦, 渡辺太郎. 2024. "Vision Language Modelが持つ画像批評能力の評価手法の提案", 言語処理学会第30回年次大会 (NLP 2024).

  • 辻本陵, 大内啓樹, 上垣外英剛, 渡辺太郎. 2024. "衛星画像の時系列変化説明に向けたLVLMの比較" , 言語処理学会第30回年次大会 (NLP 2024).

  • Junehwan Sung, 上垣外英剛, 渡辺太郎. 2024. "Exploring Metalinguistic Awareness in Pre-trained Language Models through the International Linguistics Olympiad Challenges", 言語処理学会第30回年次大会 (NLP 2024).

  • 前川在, 平尾努, 上垣外英剛, 奥村学. 2024. "大規模言語モデルによるシフト還元修辞構造解析の模倣" , 言語処理学会第30回年次大会 (NLP 2024).

  • 富村勇貴, 上垣外英剛, 渡辺太郎. 2024. "固有名詞置換による共参照解析データセットの拡張" , 言語処理学会第30回年次大会 (NLP 2024).

  • 帖佐克己, 上垣外英剛, 渡辺太郎. 2024. "翻訳文の部分構造を制約とした機械翻訳" , 言語処理学会第30回年次大会 (NLP 2024). (若手奨励賞)

  • 坂井優介, 上垣外英剛, 渡辺太郎. 2024. "Multilingual CommonsenseQA" , 言語処理学会第30回年次大会 (NLP 2024).

  • 橋本航, 上垣外英剛, 渡辺太郎. 2024. "データ拡張による固有表現抽出の不確実性推定" , 言語処理学会第30回年次大会 (NLP 2024).

  • 西田悠人, 森下睦, 出口祥之, 上垣外英剛, 渡辺太郎. 2024. "kNN言語モデルは低頻度語の予測に役立つか？" , 言語処理学会第30回年次大会 (NLP 2024). (若手奨励賞)

  • 坂井 優介, ノヘイル アダム, 上垣外 英剛, 渡辺 太郎. 2023. "大規模言語モデルの統一評価に向けた指示テンプレートの提案及びその評価結果の考察", 情報処理学会第258回自然言語処理研究会 (NL研). (優秀研究賞)

  • 西田 拳, 林 克彦, 町 光二郎, 上垣外 英剛. 2023. "ランダム巡回ベクトルを用いたマルチラベル学習", 情報処理学会第258回自然言語処理研究会 (NL研). (若手奨励賞)

  • 坂井 優介, 上垣外 英剛, 林 克彦, 渡辺 太郎. 2023. "未知の知識に対する事前学習済み言語モデルが持つ推論能力の調査", 情報処理学会第257回自然言語処理研究会 (NL研). (優秀研究賞)

  • 郷原聖士, 上垣外英剛, 渡辺太郎. 2023. "ChatGPTは優れた教師になれるのか？", NLP若手の会 第18回シンポジウム. (奨励賞)

  • 多田智貴, 林克彦, 上垣外英剛, 2023. "珍妙で面白いWikipedia記事の発見手法", NLP若手の会 第18回シンポジウム. (奨励賞)

  • 林和樹, 出口祥之, Xincan Feng, 上垣外英剛, 林克彦, 渡辺太郎. 2023. "kNN-LMによる知識グラフを用いた大規模言語モデルにおける知識の操作", NLP若手の会 第18回シンポジウム. (奨励賞)

  • 西田拳, 林克彦, 上垣外英剛. 2023. "巡回ホログラフィック縮退表現による大規模マルチラベル分類の効率化", NLP若手の会 第18回シンポジウム. (シェルパ・アンド・カンパニー賞)

  • 西田悠人, 森下睦, 上垣外英剛, 渡辺太郎. 2023. "単言語データを用いたLLMベースのkNN機械翻訳", NLP若手の会 第18回シンポジウム.

  • 鈴木刀磨, 上垣外英剛, 渡辺太郎. 2023. "言語モデルのInstruction tuningにおける否定学習の調査", NLP若手の会 第18回シンポジウム.

  • 上垣外英剛, 林克彦, 渡辺太郎. 2023. "視覚と言語の融合モデルにおける知識の振る舞いを調査するための表と画像の生成タスクの提案及びその調査結果", 言語処理学会第29回年次大会 (NLP 2023).  (委員特別賞)

  • Xincan Feng, 上垣外英剛, 林克彦, 渡辺太郎. 2023. "知識グラフ補完のためのモデル予測に基づくサブサンプリング" , 言語処理学会第29回年次大会 (NLP 2023).

  • 西田悠人, 森下睦, 上垣外英剛, 渡辺太郎. 2023. "摂動を加えたkNN機械翻訳による多様な翻訳候補の生成", 言語処理学会第29回年次大会 (NLP 2023).

  • 星野智紀, 上垣外英剛, 渡辺太郎. 2023. "忠実性向上のためにn-gramの抽出性を報酬とする強化学習を用いる抽象型要約", 言語処理学会第29回年次大会 (NLP 2023).

  • 白井尚登, 上垣外英剛, 渡辺太郎. 2023. "エッジプロービングを用いた事前学習済みの視覚と言語に基づくモデルにおける言語知識の分析", 言語処理学会第29回年次大会 (NLP 2023).

  • 村上聡一朗, 菊田洸, 張培楠, 上垣外英剛, 高村大也, 奥村学. 2023. "原文の書き換えによる広告文生成", 言語処理学会第29回年次大会 (NLP 2023).

  • 前川在, 小林尚輝, 平尾努, 上垣外英剛, 奥村学. 2023. "逆翻訳を利用したデータ拡張による文間の修辞構造解析の改善", 言語処理学会第29回年次大会 (NLP 2023).

  • 上原 瑞歩, 倉石 怜実, 林 克彦, 鷲尾 光樹, 上垣外 英剛, 永野 清仁. 2023. "マンガの読み順評価用データセットの構築とその分析",  第67回 情報処理学会エンタテインメントコンピューティング研究会. (研究奨励賞)

  • 吉永 瑛哉, 林 克彦, 鷲尾 光樹, 上垣外 英剛, 新保 仁. 2023. "マンガのコマ割りのみから作品分類は可能か?",  第67回 情報処理学会エンタテインメントコンピューティング研究会.  (学生奨励賞)

  • 西田悠人, 出口祥之, 上垣外英剛, 渡辺太郎. 2022. "kNN機械翻訳のためのTransformerデコーダ最終層の中間表現の可視化・統計的分析", NLP若手の会 第17回シンポジウム. (奨励賞)

  • 白井尚登, 上垣外英剛, 渡辺太郎. 2022. "事前学習済みVision and Languageモデルにおける言語情報の獲得過程の調査", NLP若手の会 第17回シンポジウム. 

  • 上垣外英剛, 林克彦. 2022. "知識グラフ埋め込みにおける負例サンプリング損失の分析", 言語処理学会第28回年次大会 (NLP 2022). (優秀賞)

  • 田代真生, 上垣外英剛, 船越孝太郎, 奥村学. 2022. "否定の理解へのprompt-based finetuningの効果", 言語処理学会第28回年次大会 (NLP 2022). (リーガルフォース賞)

  • 小林尚輝, 平尾努, 上垣外英剛, 奥村学, 永田昌明. 2022. "言語モデルと解析戦略の観点からの修辞構造解析器の比較", 言語処理学会第28回年次大会 (NLP 2022).

  • 村上聡一朗, 星野翔, 張培楠, 上垣外英剛, 高村大也, 奥村学. 2022. "LP-to-Text: マルチモーダル広告文生成", 言語処理学会第27回年次大会 (NLP 2022). 

  • 前川在, 上垣外英剛, 船越孝太郎, 奥村学. 2022. "海馬の記憶インデックスに着想を得たリプレイによる言語処理タスクの継続学習", 言語処理学会第28回年次大会 (NLP 2022).

  • 藤田正悟, 上垣外英剛, 船越 孝太郎, 奥村学. 2021. "抽出型複数文書要約における文順序を考慮した評価", 情報処理学会第250回自然言語処理研究会(NL研). (若手奨励賞)

  • 上垣外英剛, 林克彦. 2021. "知識グラフ埋め込み学習における損失関数の統一的解釈", 言語処理学会第27回年次大会 (NLP 2021). (委員特別賞)

  • 小林尚輝, 平尾努, 上垣外英剛, 奥村学, 永田昌明, 奥村学. 2021. "疑似正解データを利用した修辞構造解析器の改善", 言語処理学会第27回年次大会 (NLP 2021). (学生奨励賞)

  • 川本稔己, 長谷川駿, 上垣外英剛, 船越孝太郎, 奥村学. 2021. "傾聴の応答で繰り返される語句の検出性能の向上", 言語処理学会第27回年次大会 (NLP 2021).

  • 福島健司, 平尾努, 上垣外英剛, 奥村学, 永田昌明, 奥村学. 2021. "動画の談話構造解析", 言語処理学会第27回年次大会 (NLP 2021).

  • 竹下智章, 上垣外英剛, 船越孝太郎, 高村大也, 奥村学. 2021. "関連タスクの予測確率分布を用いるsoft-gated BERTによる対話印象分類", 言語処理学会第27回年次大会 (NLP 2021). (優秀賞)

  • 川原田将之, 長谷川駿, 上垣外英剛, 高村大也, 奥村学. 2021. "共参照情報を活用した映画のあらすじ要約生成", 言語処理学会第27回年次大会 (NLP 2021).

  • 長谷川 駿, 上垣外 英剛, 奥村 学. 2020. "教師有りコピー機構を用いた要約文生成", 人工知能学会全国大会（第34回） (JSAI 2020).

  • 張 浩達, 上垣外 英剛, 高村 大也, 奥村 学. 2020. "複数の言語モデルを考慮したキーワードからの広告文生成", 人工知能学会全国大会（第34回） (JSAI 2020).

  • 服部友理, 上垣外英剛, 高村大也, 奥村学. 2020. "クラシック音楽の楽曲と解説文の自動対応付け", 言語処理学会第26回年次大会 (NLP 2020).

  • 宇野健太, 上垣外英剛, 高村大也, 奥村学. 2020. "古典単語と年代情報を活用した俳句の言い換え", 言語処理学会第26回年次大会 (NLP 2020).

  • 藤田綜一郎, 平尾努, 上垣外英剛, 奥村学, 永田昌明. 2020. "ストーリとしての動画キャプションの自動評価法", 言語処理学会第26回年次大会 (NLP 2020).

  • 上垣外英剛, 奥村学. 2019. "階層的な注意機構に基づき統語的な先読みを行う文圧縮", 情報処理学会第243回自然言語処理研究会 (NL研). (優秀研究賞, 山下記念研究賞)

  • 藤田正悟, 上垣外英剛, 高村大也, 奥村学. 2019. "未知語と低頻度語に対応したソースコードにおける関数名の自動生成", 情報処理学会第242回自然言語処理研究会 (NL研).

  • 長谷川駿, 上垣外英剛, 奥村学. 2019. "生成型文要約のための抽出性に着目したデータ選択", 情報処理学会第241回自然言語処理研究会(NL研). (若手奨励賞)

  • Hidetaka Kamigaito, Peinan Zhang, Hiroya Takamura, Manabu Okumura. 2019. "Effect-Rewarded Reinforcement Learning for Ad Text Generation", In WebDB Forum 2019.

  • 石垣達也, 上垣外英剛, 高村大也, 奥村学. 2019. "談話構造を考慮する階層的注意機構による抽出型ニューラル単一文書要約",  言語処理学会第25回年次大会 (NLP 2019). (学生奨励賞) 

  • 佐藤紗都, 上垣外英剛, 高村大也, 奥村学. 2019.  "ニューラル機械翻訳の品質向上に向けた原言語における言い換え", 言語処理学会第25回年次大会 (NLP 2019). 

  • 小林尚輝, 平尾努,  上垣外英剛, 奥村学, 永田昌明. 2019. "階層構造を考慮したトップダウン談話構造解析", 言語処理学会第25回年次大会 (NLP 2019). 

  • 小林尚輝, 平尾努, 中村健吾, 上垣外英剛, 奥村学, 永田昌明. 2019. "テキストセグメンテーションによる教師なし修辞構造解析", 言語処理学会第25回年次大会 (NLP 2019). 

  • 大谷拓海, 上垣外英剛, 永田昌明, 奥村学. 2019. "共参照解析を利用した複数文翻訳モデルの提案", 言語処理学会第25回年次大会 (NLP 2019). 

  • 上垣外英剛, 林克彦, 平尾努, 永田昌明. 2018. "依存構造の連鎖を考慮したニューラル文圧縮", 言語処理学会第24回年次大会 (NLP 2018). (優秀賞)

  • 平尾努, 上垣外英剛, 永田昌明. 2018. "抽出型オラクルを利用した要約の自動評価", 言語処理学会第24回年次大会 (NLP 2018).

  • 上垣外英剛, 林克彦, 平尾努, 高村大也, 奥村学, 永田昌明. 2016. "Max-marginalフィルタを利用した品詞タグ付けと句構造解析の同時学習", 言語処理学会第22回年次大会 (NLP 2016).

  • 上垣外英剛, 渡辺太郎, 高村大也, 奥村学, 隅田英一郎. 2015. "階層的バックオフに基づく同期文脈自由文法の学習", 言語処理学会第21回年次大会 (NLP 2015).

  • 上垣外英剛, 渡辺太郎, 高村大也, 奥村学. 2014. "単語出現頻度を考慮した事後確率制約による単語アライメント", 言語処理学会第20回年次大会 (NLP 2014).

  • 上垣外英剛, 笹野遼平, 高村大也. 2013. "発話に対する引用表現の自動生成", 言語処理学会第19回年次大会 (NLP 2013).

  • 上垣外英剛, 渡辺陽介, 横田治夫. 2012. "Office XML 文書の部分木に着目した類似スタイルのファイル検索.", 第 4 回データ工学と情報マネジメントに関するフォーラム (DEIM2012).

Awards

• EMNLP 2020 Outstanding reviewer [list]

Reviews

• IEICE2022

• ARR2022March

• ARR2022January

• COLING2022

• AAAI2022

• EMNLP2022

• EMNLP2022Industrial

• ICML2022

• JNLP2022

• Neurips2022

• IEEE_T-ASL2022

• Transaction_of_JSAI2022

• ARR2021November

• EMNLP2021

• IEICE2021

• JNLP2021

• IPSJ2021

• YCSLA2021

• IEEE_TALLIP2020

• ACL2020

• EMNLP2020

• JNLP2020

• YCSLA2020

• IEEE_T-ASL2019

• IEEE_TALLIP2019

• IJCAI2019

• JNLP2019

• WNGT2019

• IPSJ2018

• JNLP2018

• IJCNLP2017

• JNLP2017