(at Madame Tussauds in London, 2017)
Welcome to my web site! I am a postdoctoral associate at Department of Computer Science, Stony Brook University. Previously, I was an assistant professor in Natural Language Processing lab at Tohoku University, Japan (until Apr. 2020). My research interest is in natural language processing, especially in natural language understanding, commonsense inference, logical inference and discourse processing.
My CV is here.
Selected, recent publications NEW!
- Qin Dai, Naoya Inoue, Ryo Takahashi and Kentaro Inui. Two Training Strategies for Improving Relation Extraction over Universal Graph. To appear in Proceedings of the 16th conference of the European Chapter of the Association for Computational Linguistics (EACL2021), April 2021.
- Naoya Inoue, Pontus Stenetorp and Kentaro Inui. R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL2020), July 2020, pp.6740–6750. paper website
- 井之上 直也, Pontus Stenetorp, 乾 健太郎. 機械読解システムの推論過程のベンチマークの構築. 言語処理学会第26回年次大会論文集, 4 pages, March 2020. paper website (言語資源賞)
- Pride Kavumba, Naoya Inoue (equal contribution), Benjamin Heinzerling, Keshav Singh, Paul Reisert and Kentaro Inui. When Choosing Plausible Alternatives, Clever Hans can be Clever. In Proceedings of the First Workshop on COmmonsense INference in Natural Language Processing (COIN2019), November 2019. pp.33-42, paper website