| 2025 | COLING | Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes. | Taichi Aida, Danushka Bollegala |
| 2025 | COLING | Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices. | Hajime Kiyama, Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi |
| 2025 | EMNLP | SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detection. | Taichi Aida, Danushka Bollegala |
| 2024 | ACL | A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection. | Taichi Aida, Danushka Bollegala |
| 2023 | ACL | Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings. | Taichi Aida, Danushka Bollegala |
| 2023 | EMNLP | Swap and Predict - Predicting the Semantic Changes in Words across Corpora by Context Swapping. | Taichi Aida, Danushka Bollegala |
| 2023 | EMNLP | A Word Sense Distribution-based approach for Semantic Change Prediction. | Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen, Danushka Bollegala |
| 2023 | PACLIC | Construction of Evaluation Dataset for Japanese Lexical Semantic Change Detection. | Zhidong Ling, Taichi Aida, Teruaki Oka, Mamoru Komachi |
| 2022 | LREC | Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. | Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi |
| 2021 | ACL | Modeling Text using the Continuous Space Topic Model with Pre-Trained Word Embeddings. | Seiichi Inoue, Taichi Aida, Mamoru Komachi, Manabu Asai |
| 2021 | PACLIC | A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences. | Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi |
| 2021 | PACLIC | Analyzing Semantic Changes in Japanese Words Using BERT. | Kazuma Kobayashi, Taichi Aida, Mamoru Komachi |