Research theme for competitive and other funds (5)：
2021 - 2024 文化進化の分析のための分岐と伝播の統合的モデル化
2018 - 2024 Integrating Language Change in Time and Space: Applying Geographical Information System (GIS) and Statistic Modelling to Historical Linguistics
2018 - 2022 Modality analysis of Japanese texts which are accessible to both of a real world and possible worlds
2018 - 2021 Computational approaches to understanding historical changes of languages
2014 - 2018 Statistical phylogenetic inference of the Japonic language family
Papers (34)：
Hirotaka Kameko, Yugo Murawaki, Suguru Matsuyoshi, Shisuke Mori. Japanese Event Factuality Analysis in the Era of BERT. IEEE Access. Vol. 11. 2023. 93286-93292
Nobuhiro Ueda, Kazumasa Omura, Takashi Kodama, Hirokazu Kiyomaru, Yugo Murawaki, Daisuke Kawahara, Sadao Kurohashi. KWJA: A Unified Japanese Analyzer Based on Foundation Models. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023): System Demonstrations. 2023
Hirokazu Kiyomaru, Kazumasa Omura, Yugo Murawaki, Daisuke Kawahara, Sadao Kurohashi. Diversity-aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction. In Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing (COIN). 2019. 113-122
Suzushi Tomori, Yugo Murawaki, Shinsuke Mori. A Hybrid Generative/Discriminative Model for Rapid Prototyping of Domain-Specific Named Entity Recognition. 20th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2019). 2019
Building a Japanese Typo Dataset from Wikipedia's Revision History
(Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL2020SRW) 2020)
Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives
(Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC2020) 2020)
Minimally Supervised Learning of Affective Events Using Discourse Relations
(In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing 2019)
Diversity-aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction
(In Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing (COIN) 2019)
