Natural language processing and computational linguistics research group at the Tokyo Metropolitan University. We aim at creating a research hub for natural language processing in Tokyo. I am not accepting any students since I moved to Hitotsubashi University. If you are interested in working with us, please consider applying to Hitotsubashi University (N.B. JLPT N1 is required for application).

Keywords

natural language processing (machine translation, error correction/detection, information extraction, semantic analysis), web mining, machine learning (deep learning, representation learning)

News

• 2023/10/09 Following four papers were accepted at The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) and The Eighth Conference on Machine Translation (WMT 2023)

  1. Taichi Aida and Danushka Bollegala (Liverpool University). Swap and Predict -- Predicting the Semantic Changes in Words across Corpora by Context Swapping. Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Singapore. December, 2023. 

  2. Xiaohang Tang (Liverpool University), Yi Zhou (Liverpool University), Taichi Aida, Procheta Sen (Liverpool University), and Danushka Bollegala (Liverpool University). Can Word Sense Distribution Detect Semantic Changes of Words? Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Singapore. December, 2023. 

  3. Zizheng Zhang, Masato Mita (Cyberagent/TMU), Mamoru Komachi (Hitotsubashi University).  ClozEx: A Task toward Generation of English Cloze Explanation. Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Singapore. December, 2023. 

  4. Tosho Hirasawa, Emanuele Bugliarello (University of Copenhagen), Desmond Elliott (University of Copenhagen) and Mamoru Komachi (Hitotsubashi University). Visual Prediction Improves Zero-Shot Cross-Modal Machine Translation. The Eight Conference on Machine Translation (WMT 2023). Singapore. December, 2023.

• 2023/09/10 Two papers got accepted at The 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37) 

  1. Taisei Enomoto, Tosho Hirasawa, Hwichan Kim, Teruaki Oka (Hitotsubashi University) and Mamoru Komachi (Hitotsubashi University). Simultaneous Domain Adaptation of Tokenization and Machine Translation. The 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37). Hong Kong. December, 2023. (poster, accepted)

  2. Zhidong Ling, Taichi Aida, Teruaki Oka (Hitotsubashi University) and Mamoru Komachi (Hitotsubashi University). Construction of Evaluation Dataset for Japanese Lexical Semantic Change Detection. The 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37). Hong Kong. December, 2023. (oral, accepted)

• 2023/07 Our papers were accepted at peer-reviewed journals.

  1. Hwichan Kim, Tosho Hirasawa, Sangwhan Moon (Tokyo Institute of Technology), Naoaki Okazaki (Tokyo Institute of Technology), Mamoru Komachi. North Korean Neural Machine Translation through South Korean Resources. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP). (accepted)

  2. Siti Oryza Khairunnisa, Zhousi Chen, Mamoru Komachi. Dataset Enhancement and Multilingual Transfer for Named Entity Recognition in the Indonesian Language. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol.22, No.6, 21 pages. June, 2023. (PDF)

  3. Keigo Takahashi, Teruaki Oka, Mamoru Komachi. Effectiveness of pre-trained language models for the Japanese Winograd Schema Challenge. Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 27, No.3, pp.511-521. (PDF)

  4. Zhousi Chen and Mamoru Komachi. Discontinuous Combinatory Constituency Parsing. Transactions of the Association for Computational Linguistics. Volume 11, pp.267-283. March, 2023. (PDF)

• 2023/06 Our papers were accepted at ACL and collocated workshops.

  1. Xiaomeng Pan, Zhousi Chen and Mamoru Komahi. Query Generation Using GPT-3 for CLIP-Based Word Sense Disambiguation for Image Retrieval. The 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023). (short)

  2. Hwichan Kim and Mamoru Komachi. Enhancing Few-shot Cross-lingual Transfer with Target Language Peculiar Examples. Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). (long)

  3. Taichi Aida and Danushka Bollegala (Liverpool University). Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings. Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). (long)

• 2023/01/30 Following papers have been accepted at a major conference.

  1. Hiroto Tamura, Tosho Hirasawa, Hwichan Kim and Mamoru Komachi. Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation? Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023). (short)

  2. Zizheng Zhang, Masato Mita and Mamoru Komachi. Cloze Quality Estimation for Language Assessment. Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023). (long)