研究概要

主要論文

• 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).

研究成果（プレスリリース）

• 

  2023年5月9日
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