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Senior Distinguished Researcher Kyosuke Nishida
  • Senior Distinguished Researcher

    Kyosuke Nishida

  • NTT Human Informatics Laboratories

Research on NTT's large language models, "tsuzumi".

We aim to develop a question answering system capable of answering all questions from users through the challenges of human-level natural language understanding.

In this page

Awards

  • March 2024: Paper Award, in the 30th Annual Meeting of the Association for Natural Language Processing.
  • March 2023: Language Resource Award, in the 29th Annual Meeting of the Association for Natural Language Processing.
  • March 2023: Paper Award, in the 29th Annual Meeting of the Association for Natural Language Processing.
  • March 2023: Committee Member Special Award, in the 28h Annual Meeting of the Association for Natural Language Processing (two papers).
  • March 2022: Paper Award, in the 28th Annual Meeting of the Association for Natural Language Processing.
  • September 2021 Competition on Document Visual Question Answering, Task 3 Infographics VQA, runners-up
  • July 2021: Annual Conference Award, in the 2021 Annual Conference of the Japanese Society for Artificial Intelligence
  • March 2021: Best Paper Award, in the 27th Annual Meeting of the Association for Natural Language Processing.
  • July 2020: Annual Conference Award, in the 2020 Annual Conference of the Japanese Society for Artificial Intelligence (Two papers)
  • March 2020: Paper Award, in the 26th Annual Meeting of the Association for Natural Language Processing.
  • June 2019: 2018 DBSJ Paper Award, from Database Society of Japan.
  • March 2019: Paper Award, in the 25th Annual Meeting of the Association for Natural Language Processing.
  • March 2019: Interactive Award, in the 11th Forum on Data Engineering and Information Management
  • September 2018: Paper Award, in the 2018 Multimedia, Distributed, Cooperative, and Mobile Symposium.
  • June 2018: Paper Award, in the 10th Forum on Data Engineering and Information Management.
  • March 2018: Best Paper Award, in the 24th Annual Meeting of the Association for Natural Language Processing.
  • March 2018: Interactive Award, in the 10th Forum on Data Engineering and Information Management
  • March 2017: DBSJ kambayashi Young Researcher Award, from Database Society of Japan.
  • March 2017: Interactive Award, in the 9th Forum on Data Engineering and Information Management.
  • August 2016: Paper Award, in the 2016 Multimedia, Distributed, Cooperative, and Mobile Symposium.
  • June 2016: Paper Award, in the 8th Forum on Data Engineering and Information Management.
  • March 2015: IPSJ Yamashita SIG Research Award, from Information Processing Society of Japan.
  • August 2013: Best Paper Award, in the 2013 Multimedia, Distributed, Cooperative, and Mobile Symposium.
  • July 2013: Presentation Award, in the 2013 Multimedia, Distributed, Cooperative, and Mobile Symposium.
  • February 2011: DEIM 2011 Best Interactive Award, in the 3rd Forum on Data Engineering and Information Management.
  • September 2010: Best Paper Award, in the Groupware and Network Services Workshop 2010.

Academic Activities

  • IPSJ Special Interest Groups on Natural Language Processing Steering Comittie (2012 - 2016, 2017 - 2023)
  • IPSJ Special Interest Groups on Database System Steering Comittie (2012 - 2016, 2017 - 2021)

Visiting Professor

  • Hosei University, Pert-time Lecture (2019 - 2023)

Publications

Papers

    • Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki, "InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions" in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2024), February 2024.
    • Taku Hasegawa, Kyosuke Nishida, Koki Maeda, Kuniko Saito, "DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning", in the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, 1047/4909 = 21.3%), pp. 13607-13624, December 2023.
    • Kosuke Nishida, Naoki Yoshinaga and Kyosuke Nishida, "Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge", in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), accepted, May 2023.
    • Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, Taku Hasegawa, Itsumi Saito, Kuniko Saito, "SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images", in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023, 1721/8777=19.6%), accepted (full paper), February 2023.
    • Yasuhito Ohsugi, Itsumi Saito, Kyosuke Nishida and Sen Yoshida, "Japanese ASR-Robust Pre-trained Language Model with Pseudo-Error Sentences Generated by Grapheme-Phoneme Conversion", in Proceedings of the 2022 Conference of the International Speech Communication Association (INTERSPEECH 2022), pp. 2688-2692, September 2022.
    • Kosuke Nishida, Kyosuke Nishida, Shuichi Nishioka, "Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions", in Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022) (findings), pp. 1421-1430, July 2022.
    • Kosuke Nishida, Kyosuke Nishida, Sen Yoshida, "Task-adaptive Pre-training of Language Models with Word Embedding Regularization", in Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) (findings), pp. 4546-4553, August 2021.
    • Ryota Tanaka(*), Kyosuke Nishida(*), Sen Yoshida, "VisualMRC: Machine Reading Comprehension on Document Images", in Proceedings of the 35st AAAI Conference on Artificial Intelligence (AAAI 2021), accepted, February 2021. (*: equal contribution)
    • Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano and Junji Tomita, "Multi-style Generative Reading Comprehension", in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp.2273-2284, July 2019.
    • Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Itsumi Saito, Atushi Otuka, Hisako Asano and Junji Tomita, "Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction", in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp.2273-2284, 2335-2345, July 2019.
    • Kyosuke Nishida, Itsumi Saito, Atsushi Otsuka, Hisako Asano, and Junji Tomita, "Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension", in Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), pp. 647-656, October 2018.
    • Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, and Yoshinori Matsuo, "Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture, " in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017), pp.168-174, February 2017.
    • Kyosuke Nishida, Hiroyuki Toda, Takeshi Kurashima, and Yoshihiko Suhara, "Probabilistic Identification of Visited Point-of-Interest for Personalized Automatic Check-in," in Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014), pp.631-642, September 2014.
    • Kyosuke Nishida, Takahide Hoshide, and Ko Fujimura, "Improving Tweet Stream Classification by Detecting Changes in Word Probability," in Proceedings of the 35th international ACM SIGIR conference on Research and development in Information Retrieval (SIGIR 2012), pp. 971-980, August 2012.
    • Kyosuke Nishida and Ko Fujimura, "Hierarchical Auto-Tagging: Organizing Q&A Knowledge for Everyone," in Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM 2010), pp. 1657-1660, October 2010.

Research Activity

MS MARCO 2.1 Q&A Task: Rank 1 (3 January 2019)

MS MARCO 2.1 Q&A + Natural Language Generation Task: Rank 1 (3 January 2019)

Keywords

Artificial Intelligence, Deep Learning, Natural Language Processing, Machine Reading Comprehension, Web and Spatial Data Mining

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