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RIKEN Center for Advanced Intelligence Project Tourism Information Analytics Team

Team Leader: Satoshi Nakamura (D.Eng.)

Research Summary

Satoshi  Nakamura(D.Eng.)

Analysis of the dynamic changes in people’s flow and detection of people’s behaviors are becoming more and more important in recent society. By analyzing and predicting a large amount of information on IoT sensing and social media, interactive and dynamic behavior and information navigation tailored to users are going to be realized and enhanced by applying deep learning in tourism. Specifically, we are researching time-series data analysis and clustering, multilingual spoken language processing, dynamic navigation, and route optimization.

Research Subjects

  • IoT-to-human technologies
  • Dialog modeling and systems
  • Speech and natural language processing

Main Research Fields

  • Informatics

Related Research Fields

  • Engineering
  • Complex Systems
  • Social Sciences
  • Intelligent informatics
  • Perceptual information processing
  • Human interface and interaction

Keywords

  • IoT-to-human Technology
  • Multilingual Spoken Language Processing
  • Dialogue Management and Dialogue System
  • Ubiquitous Computing
  • Behavior Change

Selected Publications

  • 1. Yodai Hirano, Hirohiko Suwa, Keiichi Yasumoto.:
    "A Method for Generating Multiple Tour Routes Balancing User Satisfaction and Resource Consumption"
    In proc. The International Workshop on Smart Sensing Systems (IWSSS'19)
  • 2. Andros Tjandra, Sakriani Sakti, Satoshi Nakamura.:
    "Tensor Decomposition for Compressing Recurrent Neural Network"
    In proc. of International joint conference on neural networks (IJCNN 2018)
  • 3. Yuki Kanaya, Shogo Kawanaka, Masato Hidaka, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto.:
    "Preference-aware Video Summarization for Virtual Tour Experience"
    In proc. Of International Workshop on Smart Sensing Systems, 2018
  • 4. Keshi, I., Suzuki, Y., Yoshino, K. and Nakamura. S.:
    "Semantically readable distributed representation learning for social media mining"
    In proc. of The 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI), Aug. 2017
  • 5. Hiraoka,T., Neubig,G., Sakti,S., Toda,T. and Nakamura,S.:
    "Learning cooperative persuasive dialogue policies using framing"
    In proc. of Speech Communication, vol.84, pp83-96, Nov. 2016
  • 6. Maeda,W., Suzuki,Y., and Nakamura,S.:
    "Fast Text Anonymization using k-anonymity"
    In proc. International Conference on Information Integration and Web-based Applications & Services, Nov. 2016.
  • 7. Adams, O., Neubig, G., Cohn, T., Bird, S., Do, Q.T., and Nakamura, S.:
    "Learning a Lexicon and Translation Model from Phoneme Lattices"
    In proc. EMNLP, November 2016.(Best short paper)
  • 8. Tjandra, A., Sakti, S., Manurung, R., Adriani, M. and Nakamura, S.:
    "Gated Recurrent Neural Tensor Network"
    Proceedings of The 2016 International Joint Conference on Neural Networks (IJCNN 2016), July 2016

Related Links

Lab Members

Principal investigator

Satoshi Nakamura
Team Leader

Core members

Sakriani Watiasri Sakti
Research Scientist
Hirohiko Suwa
Research Scientist

Contact Information

B711
8916-5 Takayama Ikoma-city, Nara, Japan
Tel: +81-(0)743 72 5260
Fax: +81-(0)743 72 5269
Email: satoshi.nakamura.vr [at] riken.jp

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