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RIKEN Center for Advanced Intelligence Project Natural Language Understanding Team

Team Leader: Kentaro Inui (D.Eng.)

Research Summary

Kentaro  Inui(D.Eng.)

In recent years, research on natural language processing has developed greatly in parallel with the distribution of huge language data and advances in machine learning and deep learning. However, a number of breakthroughs are still necessary for developing artificial intelligence that "understands" a language. At the Natural Language Understanding Team, we will conduct research on fundamental technologies for understanding languages by computers through by creating new tasks for automatic assessment of human language activities, such as reviewing argumentation and descriptive responses in pedagogical contexts. We aim to extend upon the frontier of language processing in both basic research and applied research while collaborating with the Language Information Access Technology Team and other teams in the Generic Technology Research Group.

Main Research Fields

  • Informatics

Related Research Fields

  • Intelligent Informatics
  • Complex Systems
  • Social Sciences

Keywords

  • Natural Language Processing
  • Understanding with Knowledge and Inference
  • Language Processing for Education

Selected Publications

  • 1. Inoue, N., Stenetorp, P., and Inui, K.:
    "R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason"
    "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pp.6740-6750 (2020).
  • 2. Ouchi, H., Suzuki, J., Kobayashi, S., Yokoi, S., Kuribayashi, T., Konno, R., and Inui, K.:
    "Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition"
    "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pp.6452–6459 (2020).
  • 3. Kaneko, M., Mita, M., Kiyono, S., Suzuki, J., and Inui, K.:
    "Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction"
    "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pp.4248–4254 (2020).
  • 4. Yanaka, H., Mineshima, K., Bekki, D., and Inui, K.:
    "Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?"
    "Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL), pp.6105–6117 (2020).
  • 5. Nagata, R., Inui, K., and Ishikawa, S.:
    "Creating Corpora for Research in Feedback Comment Generation"
    "Proceedings of the 12th Language Resources and Evaluation Conference (LREC), pp.340–345 (2020).
  • 6. Sugawara, S., Stenetorp, P., Inui, K., and Aizawa, A.:
    "Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets"
    "Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), pp.8918-8927 (2020).
  • 7. Kiyono, S., Suzuki, J., Mita, M., Mizumoto, T., and Inui, K.:
    "An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction"
    "Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp.1236-1242 (2019).
  • 8. Mizumoto, T., Ouchi, H., Isobe, Y., Reisert, P., Nagata, R., Sekine, S., and Inui, K.:
    "Analytic Score Prediction and Justification Identification in Automated Short Answer Scoring"
    "Proceedings of the 14th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), pp.316-325 (2019).
  • 9. Reisert, P., Vallejo, G., Inoue, N., Gurevych, I., and Inui, K.:
    "An Annotation Protocol for Collecting User-Generated Counter-Arguments Using Crowdsourcing"
    "Proceedings of the 20th International Conference on Artificial Intelligence in Education (AIED), pp.232-236 (2019).
  • 10. Mita, M., Mizumoto, T., Kaneko, M., Nagata, R., and Inui, K.:
    "Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single-Corpus Evaluation Enough?"
    "Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Volume 1, pp.1309-1314 (2019).

Related Links

Lab Members

Principal investigator

Kentaro Inui
Team Leader

Core members

Hiroki Ouchi
Postdoctoral Researcher
Paul Anthony Reisert
Postdoctoral Researcher
Hitomi Yanaka
Postdoctoral Researcher
Benjamin Tobias Heinzerling
Postdoctoral Researcher
Yoriko Isobe
Technical Staff I
Mayumi Sugawara
Technical Staff I
Masato Mita
Technical Staff I
Ana Brassard
Technical Staff I
Shota Sasaki
Technical Staff I
Kazuaki Hanawa
Technical Staff I
Koji Matsuda
Technical Staff I
Shun Kiyono
Technical Staff I

Contact Information

c/o Tohoku University
6-3-09, Aoba, Aramaki, Aoba-ku,
Sendai, Miyagi 980-8579, Japan
Tel: +81-(0)22-795-7091
Fax: +81-(0)22-795-4285
Email: inui [at] ecei.tohoku.ac.jp

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