Taichi Aida

According to our database, Taichi Aida authored at least 21 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Statistical Semantic Change Detection via Usage Similarities.

Taichi Aida, Daichi Mochihashi, Hiroya Takamura, Toshinobu Ogiso, Mamoru Komachi

Proceedings of the Proceedings for the 6th International Workshop on Computational Approaches to Language Change, 2026

2025

Tracking Temporal Dynamics of Vector Sets with Gaussian Process.

Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi

CoRR, December, 2025

Analyzing Word Semantic Shifts with Diachronic Similarity Matrices.

Hajime Kiyama, Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi

J. Nat. Lang. Process., 2025

SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detection.

Taichi Aida, Danushka Bollegala

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices.

Hajime Kiyama, Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes.

Taichi Aida, Danushka Bollegala

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Construction and Analysis of Evaluation Dataset for Japanese Lexical Semantic Change Detection.

Zhidong Ling, Taichi Aida, Teruaki Oka, Mamoru Komachi

J. Nat. Lang. Process., 2024

Investigating the Contextualised Word Embedding Dimensions Responsible for Contextual and Temporal Semantic Changes.

Taichi Aida, Danushka Bollegala

CoRR, 2024

A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection.

Taichi Aida, Danushka Bollegala

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Analysis of Semantic Changes in Japanese Words Using BERT.

Kazuma Kobayashi, Taichi Aida, Teruaki Oka, Mamoru Komachi

J. Nat. Lang. Process., 2023

Can Word Sense Distribution Detect Semantic Changes of Words?

Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen, Danushka Bollegala

CoRR, 2023

Construction of Evaluation Dataset for Japanese Lexical Semantic Change Detection.

Zhidong Ling, Taichi Aida, Teruaki Oka, Mamoru Komachi

Proceedings of the 37th Pacific Asia Conference on Language, 2023

A Word Sense Distribution-based approach for Semantic Change Prediction.

Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen, Danushka Bollegala

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Swap and Predict - Predicting the Semantic Changes in Words across Corpora by Context Swapping.

Taichi Aida, Danushka Bollegala

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings.

Taichi Aida, Danushka Bollegala

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

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

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

Analyzing Semantic Changes in Japanese Words Using BERT.

Kazuma Kobayashi, Taichi Aida, Mamoru Komachi

Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021

A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences.

Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi

Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021

Modeling Text using the Continuous Space Topic Model with Pre-Trained Word Embeddings.

Seiichi Inoue, Taichi Aida, Mamoru Komachi, Manabu Asai

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

Estimating Machine Translation Quality of Any Input Sentence.

Taichi Aida, Kazuhide Yamamoto

Int. J. Asian Lang. Process., 2020

2019

Confidence Modeling for Neural Machine Translation.

Taichi Aida, Kazuhide Yamamoto

Proceedings of the International Conference on Asian Language Processing, 2019