Publications

Awards

  1. Young researcher’s encouragement award, the 242nd Meeting of Special Interest Group of Natural Language Processing (SIGNL), Information Processing Society of Japan (IPSJ) (2019-10-25)
    • Tatusya Hiraoka
    • HMM-based Neural Network Capturing Latent History with RNN
  2. Best Paper Award, the 240th Meeting of Special Interest Group of Natural Language Processing (SIGNL), Information Processing Society of Japan (IPSJ) (2019-06-14)
    • Kazuki Matsumaru, Sho Takase, Naoaki Okazaki
    • Re-examinating the Task of Headline Generation based on Textual Entailment
  3. JSAI 2018 Best Paper Award (2018-06-27)
    • Sho Takase, Naoaki Okazaki, Kentaro Inui
    • Learning to Compose Distributed Representations of Relational Patterns
  4. Best Paper Award, the 24th Annual Meeting of The Association for Natural Language Processing (2018-03-15)
    • Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata
    • Reducing odd generation in neural headline generation

Research Publications

Journal papers

  1. Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, and Kentaro Inui. Stance Detection Attending External Knowledge from Wikipedia. Journal of Information Processing, 27:499–506, 2019. [DOI: 10.2197/ipsjjip.27.499]
  2. Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, and Kentaro Inui. A Joint Neural Model for Fine-Grained Named Entity Classification of Wikipedia Articles. IEICE Transactions on Information and Systems, Special Section on Semantic Web and Linked Data, E101.D(1):73–81, January 2018. [DOI: 10.1587/transinf.2017SWP0005]
  3. Ran Tian, Naoaki Okazaki, and Kentaro Inui. The mechanism of additive composition. Machine Learning, 106(7):1083–1130, July 2017. [DOI: 10.1007/s10994-017-5634-8]
  4. Sho Takase, Naoaki Okazaki, and Kentaro Inui. Learning to Compose Distributed Representations of Relational Patterns. Transactions of the Japanese Society for Artificial Intelligence (in Japanese), 32(4):D-G96_1-11, July 2017. [DOI: 10.1527/tjsai.D-G96]
  5. Shuangshuang Zhou, Naoaki Okazaki, Koji Matsuda, Ran Tian, and Kentaro Inui. Supervised Approaches for Japanese Wikification. Journal of Information Processing, 25:341–350, April 2017. [DOI: 10.2197/ipsjjip.25.341]
  6. Koji Matsuda, Akira Sasaki, Naoaki Okazaki, and Kentaro Inui. Geographical Entity Annotated Corpus of Japanese Microblogs. Journal of Information Processing, 25:121–130, January 2017. [DOI: 10.2197/ipsjjip.25.121]

International conferences

  1. Sakae Mizuki and Naoaki Okazaki. Analyzing the Variation Property of Contextualized Word Representations. In The 32nd Australasian Joint Conference on Artificial Intelligence, AI-2019, pages (to appear), Springer, December 2019.
  2. Yuichi Sasazawa, Sho Takase, and Naoaki Okazaki. Neural Question Generation using Interrogative Phrases. In The 12th International Conference on Natural Language Generation, pages (to appear), October 2019.
  3. Emanuele Bugliarello, Swayambhoo Jain, and Vineeth Rakesh. Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, pages 2038–2044, 2019. [DOI: 10.24963/ijcai.2019/282]
  4. Tatsuya Hiraoka, Hiroyuki Shindo, and Yuji Matsumoto. Stochastic Tokenization with a Language Model for Neural Text Classification. In Proceedings of the 57th Conference of the Association for Computational Linguistics (ACL 2019), pages 1620–1629, Florence, Italy, Association for Computational Linguistics, July 2019.
  5. Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji ARAMAKI, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, and Hiroya Takamura. Learning to Select, Track, and Generate for Data-to-Text. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pages 2102–2113, July 2019.
  6. Sho Takase and Naoaki Okazaki. Positional Encoding to Control Output Sequence Length. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), pages 3999–4004, June 2019.
  7. Zhishen Yang, Sam Vijlbrief, and Naoaki Okazaki. TokyoTech NLP at SemEval-2019 Task 3: Emotion-related symbols in emotion detection. In SemEval 2019, pages (to appear), June 2019.
  8. Sho Takase, Jun Suzuki, and Masaaki Nagata. Character n-gram Embeddings to Improve RNN Language Models. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), pages (to appear), January 2019.
  9. Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, and Masaaki Nagata. Reducing Odd Generation from Neural Headline Generation. In The 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC 32), pages (to appear), December 2018.
  10. Kaori Abe, Yuichiroh Matsubayashi, Naoaki Okazaki, and Kentaro Inui. Multi-dialect Neural Machine Translation and Dialectometry. In The 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC 32), pages (to appear), December 2018.
  11. Sho Takase, Jun Suzuki, and Masaaki Nagata. Direct Output Connection for a High-Rank Language Model. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), pages 4599–4609, 2018.
  12. Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, and Masaaki Nagata. Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. In Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pages 74–81, 2018.
  13. Diana Galvan, Naoaki Okazaki, Koji Matsuda, and Kentaro Inui. Investigating the Challenges of Temporal Relation Extraction from Clinical Text. In Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, pages 55–64, 2018.
  14. Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, and Kentaro Inui. Predicting Stances from Social Media Posts using Factorization Machines. In Proceedings of the 27th International Conference on Computational Linguistics (Coling 2018), pages 3381–3390, August 2018.
  15. Yuta Hitomi, Hideaki Tamori, Naoaki Okazaki, and Kentaro Inui. Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (IJCNLP 2017), pages 436–441, Taipei, Taiwan, November 2017.
  16. Sosuke Kobayashi, Naoaki Okazaki, and Kentaro Inui. A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (IJCNLP 2017), pages 473–483, Taipei, Taiwan, November 2017.
  17. Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, and Kentaro Inui. A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia. In Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation (PACLIC 2017), pages 336–345, November 2017.
  18. Shota Sasaki, Sho Takase, Naoya Inoue, Naoaki Okazaki, and Kentaro Inui. Handling Multiword Expressions in Causality Estimation. In Proceedings of the 12th International Conference on Computational Semantics (IWCS 2017), pages (6 pages), September 2017.
  19. Hideaki Tamori, Yuta Hitomi, Naoaki Okazaki, and Kentaro Inui. Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment. In Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, pages 46–50, Copenhagen, Denmark, September 2017.
  20. Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, and Kentaro Inui. Learning Co-Substructures by Kernel Dependence Maximization. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), pages 3329–3335, Melbourne, Australia, August 2017.
  21. Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, and Kentaro Inui. Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 398–408, Vancouver, Canada, July 2017.
  22. Koji Matsuda, Mizuki Sango, Naoaki Okazaki, and Kentaro Inui. Monitoring Geographical Entities with Temporal Awareness in Tweets. In Proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017), pages (12 pages), Budapest, Hungary, April 2017.
  23. Paul Reisert, Naoya Inoue, Naoaki Okazaki, and Kentaro Inui. Designing a Task for Recognizing Argumentation Logic in Argumentative Texts. In Proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017), pages (to appear), Budapest, Hungary, April 2017.
  24. Paul Reisert, Naoya Inoue, Naoaki Okazaki, and Kentaro Inui. Identifying and Ranking Relevant Claims for Decision Support. In Proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017), pages (to appear), Budapest, Hungary, April 2017.

Invited talks

  1. Naoaki Okazaki. Towards Natural Language Processing that Understands Context. In AI Shooting Stars Session, Artificial Intelligence — International Research and Applications: 1st Japanese-German-French DWIH Symposium, Toranomon Hills, Tokyo, Japan, November 2018.
  2. Naoaki Okazaki. How Deep Learning Changes Natural Language Processing. In Fourth Asia Pacific Corpus Linguistics Conference (APCLC 2018), Sunport Takamatsu, Kagawa, Japan, September 2018.
  3. Naoaki Okazaki. Bridging Knowledge and Text with Deep Neural Networks. In Second International Workshop on Symbolic-Neural Learning (SNL-2018), Nagoya Congress Center, Nagoya, Japan, July 2018.
  4. Naoaki Okazaki. Generating Text with Deep Neural Networks. In Deep Learning: Theory, Algorithms, and Applications, RIKEN Center for Advanced Intelligence Project (RIKEN-AIP), Tokyo, Japan, March 2018.