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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.

Keywords

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

News

  • 2019/08/10 Our papers were accepted at the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING 2019). See you in Hanoi!
    • Hayahide Yamagishi and Mamoru Komachi. Improving Context-aware Neural Machine Translation with Target-side Context. 16th International Conference on the Pacific Association for Computational Linguistics (PACLING 2019). October 11-13, 2019.
    • Keigo Takahashi, Hikaru Omori and Mamoru Komachi. Japanese Predicate Argument Structure Analysis with Pointer Networks. 16th International Conference on the Pacific Association for Computational Linguistics (PACLING 2019). October 11-13, 2019.
    • Michiki Kurosawa and Mamoru Komachi. Dynamic Fusion: Attentional Language Model for Neural Machine Translation. 16th International Conference on the Pacific Association for Computational Linguistics (PACLING 2019). October 11-13, 2019.
  • 2019/07/05 Our papers were accepted at the following conference and journal. See you in Hokkaido!
    • Longtu Zhang and Mamoru Komachi. Chinese--Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information. The 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC 33). September, 2019. (oral)
    • Aizhan Imankulova, Takayuki Sato and Mamoru Komachi. Filtered Pseudo-Parallel Corpus Improves Low-Resource Neural Machine Translation. ACM Transactions on Asian and Low-Resource Language Information Processing. (accepted)
  • 2019/06/08 Our papers were accepted at co-located workshops of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). See you in Florence!
    • Mio Arai, Masahiro Kaneko and Mamoru Komachi. Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second Language. In 14th Workshop on Innovative Use of NLP for Building Educational Applications  (BEA 14). August 2, 2019. (full paper)
    • Kengo Hotate, Masahiro Kaneko, Satoru Katsumata and Mamoru Komachi. Controlling Grammatical Error Correction Using Word Edit Rate. In The 2019 ACL Student Research Workshop (SRW). July, 2019.
    • Ryoma Yoshimura, Hiroki Shimanaka, Yukio Matsumura, Hayahide Yamagishi, Mamoru Komachi. Filtering Pseudo-References by Paraphrasing for Automatic Evaluation of Machine Translation. In Fourth Conference on Machine Translation (WMT19) Shared Task: Metrics. August 1-2, 2019.
    • Satoru Katsumata and Mamoru Komachi. (Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus. In 14th Workshop on Innovative Use of NLP for Building Educational Applications  (BEA 14): Shared Task. August 2, 2019.
    • Masahiro Kaneko, Kengo Hotate, Satoru Katsumata and Mamoru Komachi. TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track. In 14th Workshop on Innovative Use of NLP for Building Educational Applications  (BEA 14): Shared Task. August 2, 2019.
  • 2019/05/21 Our papers were accepted at the 17th Machine Translation Summit (MT Summit 2019), which is one of the largest machine translation conferences. See you in Dublin!
    • Tosho Hirasawa and Mamoru Komachi. Debiasing Word Embeddings Improves Multimodal Machine Translation. In Proceedings of the 17th Machine Translation Summit (MT Summit 2019). August, 2019.
    • Aizhan Imankulova, Raj Dabre, Atsushi Fujita, and Kenji Imamura. Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation. In Proceedings of the 17th Machine Translation Summit (MT Summit 2019), August, 2019.
  • 2019/05/20 Our papers were accepted at the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), which is one of the top conferences in NLP. See you in Florence!
    • Mio Arai, Tomonori Kodaira and Mamoru Komachi. Sakura: Large-scale Incorrect Example Retrieval System for Learners of Japanese as a Second Language. In The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019): System Demonstrations. July, 2019.
    • Masahiro Kaneko and Danushka Bollegala. Gender-preserving Debiasing for Pre-trained Word Embeddings. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). July, 2019. (full paper)
  • 2019/03/16 Our papers were accepted at the following conferences.
    • Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura, Mamoru Komachi. Multimodal Machine Translation with Embedding Prediction. In NAACL Student Research Workshop (SRW) 2019. June,  2019. (oral)
    • Masahiro Kaneko and Mamoru Komachi. Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection. In 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing). April, 2019. (poster)
  • 2019/03/01 Our papers were accepted at the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (one of the top conferences in NLP). See you in Minneapolis!
    • Hikaru Omori and Mamoru Komachi. Multi-Task Learning for Japanese Predicate Argument Structure Analysis. NAACL-HLT 2019. (full paper)
    • Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata and Kentaro Inui. Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single-Corpus Evaluation Enough? NAACL-HLT 2019. (short paper)
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