研究概要

研究テーマ

• 自然言語処理
• 知識獲得
• 機械学習

主要論文

• 1.Ouchi, H., Shindo, H., Matsumoto, Y.:
  "Neural Modeling of Multi-Predicate Interactions for Japanese Predicate Argument Structure Analysis"
  Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1, pp.1591-1600 (2017).
• 2.*Kato, A., Shindo, H., Matsumoto, Y.:
  "English Multiword Expression-aware Dependency Parsing Including Named Entities"
  Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), Volume 2, pp.427-432 (2017).
• 3.*Hamaguchi, T., Oiwa, H., Shimbo, M., Matsumoto, Y.:
  "Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach"
  Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), Main track. Pp.1802-1808 (2017).
• 4.Sato, M., Manabe, H., Noji, H., Matsumoto, Y.:
  "Adversarial Training for Cross-Domain Universal Dependency Parsing"
  Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp.71-79 (2017)
• 5.*Tsubaki, M., Shimbo, M., Matsumoto, Y.:
  "Protein Fold Recognition with Representation Learning and Long Short-Term Memory"
  IPSJ Transactions on Bioinformatics, Vol.10. pp. 2-8, (2017).
• 6.*Ouchi, H., Duh, K., Shindo, H., Matsumoto, Y.:
  "Transition-Based Dependency Parsing Exploiting Supertags"
  IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol.24, Issue 11, pp.2059-2068 (2016).
• 7.*Pereira, L., Manguilimotan, E., Matsumoto, Y.:
  "Leveraging a Large Learner Corpus for Automatic Suggestion of Collocations for Learners of Japanese as a Second Language"
  CALICO (The Computer Assisted Language Instruction Consortium) Journal, Vol.33, No.3, pp.311-333 (2016).
• 8.*Tsubaki, M., Duh, K., M., Shimbo, M., Matsumoto, Y.:
  "Non-Linear Similarity Learning for Compositionality"
  Proceeding of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI), pp.2828-2834 (2016).
• 9.*Yoshikawa, M., Shindo, H., Matsumoto, Y.:
  "Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts"
  Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.1036-1041 (2016).
• 10.*Liu, X., Duh, K., Matsumoto, Y.:
  "Multilingual Topic Models for Bilingual Dictionary Extraction"
  ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 14 Issue 3, Article No.11, pp.1-22 (2015).

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