Shohei Higashiyama

東山 翔平

higashiyama.shohei.hn3 [at] is.naist.jp

Research Interests

  • Natural Language Processing

Work Experience

  • July 2019 - Present
    • National Institute of Information and Communications Technology (NICT), Advanced Speech Translation Research and Development Promotion Center, Kyoto, Japan
  • May 2017 - April 2019
    • National Institute of Information and Communications Technology (NICT), Advanced Speech Translation Research and Development Promotion Center, Kyoto, Japan
  • April 2014 - June 2019
    • NEC Corporation, Central Research Laboratories, Kanagawa, Japan

Education

  • April 2019 - Present
    • Nara Institute of Science and Technology (NAIST), Graduate School of Science and Technology, Nara, Japan
    • Ph.D. Student
  • April 2012 - March 2014
    • Kobe University, Graduate School of System Informatics, Hyogo, Japan
    • M.S. in System Informatics
  • April 2008 - March 2012
    • Kobe University, Faculty of Engineering, Hyogo, Japan
    • B.S. in Engineering

Publications

Journal Articles

  1. Shohei Higashiyama, Kazuhiro Seki, and Kuniaki Uehara. Vocabulary Expansion of Medical Language Resources for Medical Information Extraction. Journal of Natural Language Processing, Vol. 22, No. 2, pp. 77-106, June 2015. (In Japanese) [paper]
  2. Shohei Higashiyama, Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara. Cost-Sensitive Structured Perceptron Incorporating Category Hierarchy for Named Entity Recognition. Journal of Information and Communication Technology (JICT), Vol. 14, pp. 1-20, May 2015. [paper]
  3. Shohei Higashiyama, Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara. Named Entity Recognition Exploiting Category Hierarchy Using Structured Perceptron. IPSJ Transactions on Mathematical Modeling and its Applications (TOM), Vol. 6, No. 3, pp. 43-52, December 2013. (In Japanese) [paper]

International Conference/Workshop Papers

  1. Shohei Higashiyama, Masao Utiyama, Eiichiro Sumita, Masao Ideuchi, Yoshiaki Oida, Yohei Sakamoto, and Isaac Okada, Incorporating Word Attention into Character-Based Word Segmentation, In Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pp. 2699-2709, June 2019. [paper]
  2. Toshiaki Nakazawa, Katsuhito Sudoh, Shohei Higashiyama, Chenchen Ding, Raj Dabre, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, and Sadao Kurohashi, Overview of the 5th Workshop on Asian Translation, In Proceedings of the 5th Workshop on Asian Translation (WAT2018), December 2018. [paper]
  3. Toshiaki Nakazawa, Shohei Higashiyama, Chenchen Ding, Hideya Mino, Isao Goto, Hideto Kazawa, Yusuke Oda, Graham Neubig, and Sadao Kurohashi, Overview of the 4th Workshop on Asian Translation, In Proceedings of the 4th Workshop on Asian Translation (WAT2017), November 2017. [paper]
  4. Shohei Higashiyama, Kunihiko Sadamasa, Takashi Onishi, and Yotaro Watanabe, Event Relation Acquisition Using Dependency Patterns and Confidence-Weighted Co-occurrence Statistics, In Proceedings of the 2017 Federated Conference on Computer Science and Information Systems (FedCSIS), Annals of Computer Science and Information Systems (ACSIS), Vol. 11, pp. 339-345, September 2017. [paper]
  5. Shohei Higashiyama, Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara. A Cost-Sensitive Approach to Named Entity Recognition with Category Hierarchy. In Proceedings of the International Conference on Computer and Information Sciences (ICCOINS 2014), June 2014.
  6. Shohei Higashiyama, Kazuhiro Seki, and Kuniaki Uehara. Developing ML-based Systems to Extract Medical Information from Japanese Medical History Summaries. In Proceedings of International Joint Conference on Natural Language Processing Workshop on Natural Language Processing for Medical and Healthcare Fields. pp. 14-21, October 2013. [paper]
  7. Shohei Higashiyama, Kazuhiro Seki, and Kuniaki Uehara, Clinical Entity Recognition Using Cost-Sensitive Structured Perceptron for NTCIR-10 MedNLP, In Proceedings of 10th NTCIR Conference, June 2013. [paper]

Domestic Conference Papers

  1. 坂本陽平，笈田佳彰，出内将夫，岡田伊策，内山将夫，東山翔平，小野淳也，隅田英一郎 ，ニューラル翻訳による教師データ増殖手法を用いたERPパッケージ部品推薦機能の精度向上，人工知能学会 第2種研究会 知識・技術・技能の伝承支援研究会 (SIG-KST)，2018年11月． [paper]
  2. 東山翔平，大西貴士，渡邉陽太郎，任意の係り受けパターンを対象とした事態間知識の獲得，2016年度人工知能学会全国大会，2016年6月． [paper]
  3. 東山翔平，ブロンデルマチュー，関和広，上原邦昭．カテゴリ階層を考慮した構造化パーセプトロンによる固有表現抽出．情報処理学会研究報告 数理モデル化と問題解決，Vol. 32，No. 25，pp. 1-6，2012年11月． [paper]
  4. 東山翔平，Mathieu Blondel，関和広，上原邦昭．カテゴリ階層を考慮した固有表現抽出．情報処理学会第74回全国大会，2012年3月．

Patents

  1. Noriyuki Abe, Takashi Onishi, Shohei Higashiyama, WO/2017/138549, PCT/JP2017/004504, "INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM", applied on 2017-08-17.
  2. Shohei Higashiyama, Yuzuru Okajima, Kunihiko Sadamasa, WO/2018/235177, PCT/JP2017/022782，"INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM", applied on 2017-06-21.
  3. 東山翔平，大西貴士，渡邉陽太郎，特願2016-057408，特開2017-174009，"事態間知識抽出装置、事態間知識抽出方法、及びプログラム"，2016-03-22 出願．

Software

  • SeikaNLP: An NLP toolkit, including a neural word segmenter using word attention [source] [paper]

Awards

  1. Best Paper Award, International Conference on Computer and Information Sciences (ICCOINS 2014), June 2014.
  2. Student Encouragement Award, The 74th National Convention of IPSJ, March 2012.