• 6 引用
  • 2 h指数
20172019

Research output per year

Pureに変更を加えた場合、すぐここに表示されます。

フィンガープリント Kaoru Itoが有効な場合、研究トピックを掘り下げます。このトピックラベルは、この人物の業績からのものです。これらはともに一意のフィンガープリントを構成します。

ネットワーク 最近の国レベルでの外部協力。点をクリックして詳細を開いてください。

研究成果

  • 6 引用
  • 2 h指数
  • 3 会議での発言
  • 2 記事

Detecting early stage dementia based on natural language processing

Shibata, D., Ito, K., Wakamiya, S. & Aramaki, E., 1 1 2019, : : Transactions of the Japanese Society for Artificial Intelligence. 34, 4

研究成果: ジャーナルへの寄稿記事

公開
  • J-Medic: A Japanese disease name dictionary based on real clinical usage

    Ito, K., Nagai, H., Okahisa, T., Wakamiya, S., Iwao, T. & Aramaki, E., 1 1 2019, LREC 2018 - 11th International Conference on Language Resources and Evaluation. Isahara, H., Maegaard, B., Piperidis, S., Cieri, C., Declerck, T., Hasida, K., Mazo, H., Choukri, K., Goggi, S., Mariani, J., Moreno, A., Calzolari, N., Odijk, J. & Tokunaga, T. (版). European Language Resources Association (ELRA), p. 2365-2369 5 p. (LREC 2018 - 11th International Conference on Language Resources and Evaluation).

    研究成果: 著書/レポートタイプへの貢献会議での発言

  • Idea density in Japanese for the early detection of dementia based on narrative speech

    Shibata, D., Ito, K., Nagai, H., Okahisa, T., Kinoshita, A. & Aramaki, E., 12 2018, : : PloS one. 13, 12, e0208418.

    研究成果: ジャーナルへの寄稿記事

    公開
  • 2 引用 (Scopus)

    VocabChecker: Measuring language abilities for detecting early stage dementia

    Shibata, D., Miyabe, M., Wakamiya, S., Kinoshita, A., Ito, K. & Aramaki, E., 3 5 2018, IUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces. Association for Computing Machinery, a24. (International Conference on Intelligent User Interfaces, Proceedings IUI).

    研究成果: 著書/レポートタイプへの貢献会議での発言

  • 3 引用 (Scopus)

    Loneliness in a connected world: Analyzing online activity and expressions on real life relationships of lonely users

    Ruiz, C., Ito, K., Wakamiya, S. & Aramaki, E., 1 1 2017, SS-17-01: Artificial Intelligene for the Social Good; SS-17-02: Computational Construction Grammar and Natural Language Understanding; SS-17-03: Computational Context: Why It's Important, What It Means, and Can It Be Computed?; SS-17-04: Designing the User Experience of Machine Learning Systems; SS-17-05: Interactive Multisensory Object Perception for Embodied Agents; SS-17-06: Learning from Observation of Humans; SS-17-07: Science of Intelligence: Computational Principles of Natural and Artificial Intelligence; SS-17-08: Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing. AI Access Foundation, p. 726-733 8 p. (AAAI Spring Symposium - Technical Report; 巻数 SS-17-01 - SS-17-08).

    研究成果: 著書/レポートタイプへの貢献会議での発言