Awards

• Winner: NIPS 2017 Human-Computer Question Answering Competition, Long Beach, CA, USA, 2017 [Paper]
• Second place: WSDM Cup 2017 Triple Scoring Task, Cambridge, UK, 2017 [Paper] [Code]
• Winner: Shared Task in NAACL 2016 Workshop on Human-Computer QA, San Diego, CA, USA, 2016 [Video]
• Winner: Shared Task #1 in ACL 2015 Workshop on Noisy User-generated Text (W-NUT 2015), Beijing, China, 2015 [Paper] [Summary Paper]
• Winner: NEEL Challenge in WWW 2015 Workshop on Making Sense of Microposts (#Microposts 2015), Florence, Italy, 2015 [Paper] [Summary Paper]
• Kaggle Competition Master, 2016
• Keio SFC Student Award: Dean's Award, Keio University Shonan Fujisawa Campus, 2016

Open-source Softwares

• Wikipedia2Vec: a tool for learning embeddings of words and entities from Wikipedia
• mprpc: a fast Python RPC library
• mojimoji: a fast Python converter for Japanese characters

Publications

A full and up-to-date publication list is available at Google Scholar.

Books / Book Chapters

• Natural Language Processing (in Japanese)
  Jun Suzuki, Seiji Tsuchiya, Kazuki Motohashi, Kanji Takahashi, Akihiro Tamura, Ikuya Yamada, Kenji Araki, Shinsuke Mori, Shinichi Watanabe, Shin Hara, Tomoya Mizumoto, Takeshi Shimizu
  JOHOKIKO Co., Ltd., 2020
• Introduction to Machine Learning Programming in Python (in Japanese)
  Tatsuro Shimada, Naoto Koshimizu, Atsushi Hayakawa, Ikuya Yamada
  Gijutsu-Hyohron Co., Ltd., 2019
• Studio Ousia's Quiz Bowl Question Answering System
  Ikuya Yamada, Ryuji Tamaki, Hiroyuki Shindo, Yoshiyasu Takefuji
  The NIPS '17 Competition: Building Intelligent Systems, The Springer Series on Challenges in Machine Learning, 2018

Journal Papers

• Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples
  Eric Wallace, Pedro Rodriguez, Shi Feng, Ikuya Yamada, Jordan Boyd-Graber
  Transactions of the Association for Computational Linguistics (TACL), 2019 (to appear)
• Linkify: Enhancing Text Reading Experience by Detecting and Linking Helpful Entities to Users
  Ikuya Yamada, Tomotaka Ito, Hideaki Takeda, Yoshiyasu Takefuji
  IEEE Intelligent Systems, 2018
  [Dataset]
• Learning Distributed Representations of Texts and Entities from Knowledge Base
  Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji
  Transactions of the Association for Computational Linguistics (TACL), 2017
  [Code]

Selected Conference Papers

• Neural Attentive Bag-of-Entities Model for Text Classification
  Ikuya Yamada, Hiroyuki Shindo
  The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2019 (to appear)
• Representation Learning of Entities and Documents from Knowledge Base Descriptions
  Ikuya Yamada, Hiroyuki Shindo, Yoshiyasu Takefuji
  International Conference on Computational Linguistics (COLING), 2018
  [Code]
• Named Entity Disambiguation for Noisy Text
  Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada, Omer Levy
  The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2017
• Segment-Level Neural Conditional Random Fields for Named Entity Recognition
  Motoki Sato, Hiroyuki Shindo, Ikuya Yamada, Yuji Matsumoto
  International Joint Conference on Natural Language Processing (IJCNLP), 2017
• Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
  Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji
  The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2016
  [Code]
• Evaluating the Helpfulness of Linked Entities to Readers
  Ikuya Yamada, Tomotaka Ito, Shinsuke Takagi, Shinnosuke Usami, Hideaki Takeda, Yoshiyasu Takefuji
  26th ACM Conference on Hypertext and Social Media, 2014, pp.169-178
  [Dataset]