Short Bio

I am a third-year Ph.D. student in Graduate School of Information Science and Technology at the University of Tokyo, advised by Hideki Nakayama in the Machine Perception Group.

I study Computational Linguistics and Natural Language Processing with an interest in using computational methods for discovering linguistic rules (or structural regularities) behind natural language phenomena. In particular, I am interested in unsupervised learning of natural languages and parsing problems.


(Google Scholar)

Peer Reviewed

  • Noriki Nishida and Hideki Nakayama.
    Coherence Modeling Improves Implicit Discourse Relation Recognition.
    In Proceedings of the 19th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2018. [paper]
  • Noriki Nishida and Hideki Nakayama.
    Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations.
    In Proceedings of the 8th International Joint Conference on Natural Language Processing, 2017. [paper]
  • Hideki Nakayama and Noriki Nishida.
    Zero-resource Machine Translation by Multimodal Encoder-decoder Network with Multimedia Pivot.
    Machine Translation, vol. 31, no. 1, pp. 49-64, 2017. [paper]
  • Natsuda Laokulrat, Sang Phan, Noriki Nishida, Raphael Shu, Yo Ehara,
    Naoaki Okazaki, Yusuke Miyao, Shin'ichi Satoh, and Hideki Nakayama.
    Generating Video Description using Sequence-to-Sequence Model with Temporal Attention.
    In Proceedings of the 26th International Conference on Computational Linguistics, 2016. [paper]
  • Noriki Nishida and Hideki Nakayama.
    Multimodal Gesture Recognition using Multi-Stream Recurrent Neural Network.
    In Proceedings of the 7th Pacific-Rim Symposium on Image and Video Technology, 2015. [paper]

Without Peer Review (Domestic Conferences)

  • 西田 典起, 中山 英樹.
    言語処理学会第25回年次大会, 2019.
  • 陳宏, 朱中元, 西田 典起, 中山 英樹.
    Vision Mediated Story Generation.
    言語処理学会第25回年次大会, 2019.
  • 西田 典起, 中山 英樹.
    言語処理学会第24回年次大会, 2018.
  • 小林 佑樹, 西田 典起, 千葉 滋.
    日本ソフトウェア科学会第34回大会, 2017. (学生奨励賞受賞)
  • 西田 典起, 中山 英樹.
    Learning Syntactically Plausible Word Representations by Solving Word Ordering.
    第31回人工知能学会全国大会, 2017. (優秀賞受賞)


  • Guest talk at the Perception and Language Understanding Group at AIST, Japan, November 2018.
  • Guest talk at Kansai Chapter of the Acoustic Society of Japan, March 2016.
  • Guest talk at Prometech Simulation Conference, Japan, September 2015.


  • The Japanese Society of Artificial Intelligence (JSAI) Annual Conference Award, July 2017.

Work Experiences


  • Ph.D student, Graduate School of Information Science and Technology, the University of Tokyo, Present.
  • M.S., Graduate School of Information Science and Technology, the University of Tokyo, March 2017.
  • B.E., Department of Information and Communication Engineering, the University of Tokyo, March 2015.