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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

  • 2021/05/15 Following paper has been accepted as a Student Research Workshop paper at ACL-IJCNLP 2021!
    • Seiichi Inoue, Taichi Aida, Mamoru Komachi and Manabu Asai (Soka University). Modeling Text using the Continuous Space Topic Model with Pre-Trained Word Embeddings. ACL-IJCNLP 2021 Student Research Workshop (SRW). August, 2021. (accepted)
  • 2021/05/07 Following paper has been accepted as a Findings paper at ACL-IJCNLP 2021!
    • Zhousi Chen, Longtu Zhang, Aizhan Imankulova and Mamoru Komachi. Neural Combinatory Constituency Parsing. Findings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). (accepted)
  • 2021/04/08 Following papers have been accepted at NAACL-HLT 2021 and NAACL Student Research Workshop 2021!
    • Rob van der Goot (IT University of Copenhagen), Marija Stepanovic (IT University of Copenhagen), Alan Ramponi (IT University of Copenhagen), Ibrahim Sharaf, Ahmet Üstün (University of Groningen), Aizhan Imankulova, Siti Oryza Khairunnisa, Mamoru Komachi and Barbara Plank (IT University of Copenhagen). From Masked-Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding. 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2021). June, 2021.
    • Seiichiro Kondo, Kengo Hotate, Tosho Hirasawa, Masahiro Kaneko and Mamoru Komachi. Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation. NAACL Student Research Workshop (SRW) 2021. June, 2021. (accepted)
    • Aomi Koyama, Kengo Hotate, Masahiro Kaneko and Mamoru Komachi. Comparison of Grammatical Error Correction Using Back-Translation Models. NAACL Student Research Workshop (SRW) 2021. June, 2021. (accepted)
  • 2021/01/12 Following papers have been accepted at EACL 2021!
    • Masahiro Kaneko and Danushka Bollegala (University of Liverpool). Debiasing Pre-trained Contextualised Embeddings. The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL). April, 2021. (accepted)
    • Masahiro Kaneko and Danushka Bollegala (University of Liverpool). Dictionary-based Debiasing of Pre-trained Word Embeddings. The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL). April, 2021. (accepted)
  • 2020/11/16 Following paper has been accepted at ACM TALLIP!
    • Longtu Zhang and Mamoru Komachi. Using Sub-Character Level Information for Neural Machine Translation of Logographic Languages. ACM Transaction on Asian and Low-Resource Language Information Processing. (accepted)
  • 2020/10/01 Following papers have been accepted at COLING 2020, WMT 2020, AACL-IJCNLP 2020, EAMT 2020 and PACLIC 34!
    • Kengo Hotate, Masahiro Kaneko and Mamoru Komachi. Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction. In The 28th International Conference on Computatinal Linguistics (COLING). December, 2020. (accepted as short paper)
    • Ryoma Yoshimura, Masahiro Kaneko, Tomoyuki Kajiwara (Osaka University) and Mamoru Komachi. SOME: Reference-less Sub-Metrics Optimized for Manual Evaluations of Grammatical Error Correction. In The 28th International Conference on Computatinal Linguistics (COLING). December, 2020. (accepted as short paper)
    • Masahiro Kaneko and Danushka Bollegala. Autoencoding Improves Pre-trained Word Embeddings. In The 28th International Conference on Computatinal Linguistics (COLING). December, 2020. (accepted as short paper)
    • Ikumi Yamashita, Satoru Katsumata, Masahiro Kaneko, Aizhan Imankulova and Mamoru Komachi. Cross-lingual Transfer Learning for Grammatical Error Correction. In The 28th International Conference on Computatinal Linguistics (COLING). December, 2020. (accepted as long paper)
    • Hongfei Wang, Michiki Kurosawa, Satoru Katsumata and Mamoru Komachi. Chinese Grammatical Correction Using BERT-based Pre-trained Model. In The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP). December, 2020. (accepted as short paper)
    • Satoru Katsumata and Mamoru Komachi Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model. In The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP). December, 2020. (accepted as short paper)
    • Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa and Mamoru Komachi. Towards Multimodal Simultaneous Neural Machine Translation. In 2020 Fifth Conference on Machine Translation (WMT). Novermber, 2020. (accepted)
    • Yuting Zhao, Mamoru Komachi, Tomoyuki Kajiwara (Osaka University), Chenhui Chu (Osaka University). Double Attention-based Multimodal Neural Machine Translation with Semantic Image Regions. In The 22nd Annual Conference of the European Association for Machine Translation (EAMT 2020), pp.105-114. Lisbon, Portugal. November, 2020.
    • Masashi Takaku (Ibaraki University), Tosho Hirasawa, Mamoru Komachi, Kanako Komiya (Ibaraki University). Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings. In The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC). October, 2020. (accepted)
  • 2020/07/10 We have presented our work at The 58th Annual Meeting of Association for Computational Linguistics (ACL 2020) and related workshops.
    • Hwichan Kim, Tosho Hirasawa and Mamoru Komachi. Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguisticw: Student Research Workshop (ACL 2020 SRW), pp.72-78. July, 2020. (paper)
    • Yujin Takahashi, Satoru Katsumata and Mamoru Komachi. Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner's Error Tendency. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguisticw: Student Research Workshop (ACL 2020 SRW), pp.27-32. July, 2020. (paper)
    • Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki and Kentaro Inui. Can Encoder-decoder Models Benefit from Pre-trained LanguageRepresentation in Grammatical Error Correction? In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), pp.4258-4254. July, 2020. (paper)
    • Masahiro Kaneko, Aizhan Imankulova, Tosho Hirasawa and Mamoru Komachi. English-to-Japanese Diverse Translation Using Opposite Direction Models. In Proceedings of The 4th Workshop on Neural Generation and Translation (WNGT 2020), pp.134-138. July, 2020. (paper)
    • Tosho Hirasawa, Zhishen Yang, Mamoru Komachi and Naoaki Okazaki. Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020. In Workshop on Advances in Language and Vision Research. July, 2020. (paper) Ranked 1st!
  • 2020/02/12 Our papers were accepted at 12th International Conference on Language Resources and Evaluation (LREC 2020). See you in Marseille!
    • Reo Hirao, Mio Arai, Hiroki Shimanaka, Satoru Katsumata and Mamoru Komachi. Automated Essay Scoring System for Nonnative Japanese Learners. In 12th International Conference on Language Resources and Evaluation (LREC 2020).
    • Aomi Koyama, Tomoshige Kiyuna, Kenji Kobayashi, Mio Arai and Mamoru Komachi. Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language. In 12th International Conference on Language Resources and Evaluation (LREC 2020).
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