Journal Papers

  1. 大塚淳史西田京介斉藤いつみ, 西田光甫, 浅野久子富田準二 ,"問い返し可能な質問応答:読解と質問生成の同時学習モデル"日本データベース学会和文論文誌, Vol. 18-J, No. 16, March 2020.  
  2. 大塚淳史西田京介斉藤いつみ浅野久子富田準二, 佐藤哲司 ,"質問意図の明確化に着目した機械読解による質問応答手法の提案", 人工知能学会論文誌, Vol. 34, No. 5, p. A-J14_1-12, September 2019.
  3. 大塚淳史西田京介斉藤いつみ浅野久子富田準二, "質問の意図を特定するニューラル質問生成モデル", 日本データベース学会和文論文誌, Vol. 17-J, No. 6, March 2019.  2018年度日本データベース学会論文賞
  4. 西田京介, 井島勇祐, 田良島周平, "エンドツーエンド深層学習のフロンティア" (解説), 電子情報通信学会誌, Vol.101, No.9, pp. 920-925, August 2018.
  5. 西田京介, 斉藤いつみ, "深層学習におけるアテンション技術の最新動向" (解説), 電子情報通信学会誌, Vol.101, No.6, pp. 591-596, June 2018.
  6. 西田京介, 貞光九月, 東中竜一郎, 松尾義博, "TabNet: 表の意味構造を理解するハイブリッド型深層ニューラルネットワーク", 日本データベース学会和文論文誌, Vol. 16, No.16, pp. 1-8, March 2018.
  7. 大塚淳史, 別所克人, 西田京介, 浅野久子, 松尾義博, "ニューラル翻訳モデルを用いた回答文書検索のための拡張クエリ生成手法", 日本データベース学会和文論文誌, Vol. 16, No.4, pp. 1-8, March 2018.
  8. 瀧本祥章, 西田京介, 遠藤結城, 戸田浩之, 澤田宏, 石川佳治, "時間帯を考慮したパーソナライズ目的地予測", 電子情報通信学会論文誌 D, Vol. J100-D, No. 4, pp. 472-484, April 2017.
  9. 蔵内雄貴, 西田京介, 川中翔, 星出高秀,内山匡, "ベンフォードの法則を応用したbotアカウント検出" 日本データベース学会論文誌, Vol. 12, No. 1, pp.19-24, June 2013.
  10. 伊藤淳, 西田京介, 星出高秀, 戸田浩之, 内山匡, "Twitter とBlog の共通ユーザおよび会話ユーザの同類性に着目したTwitter ユーザ属性推定," 日本データベース学会論文誌, Vol. 12, No. 1, pp.31-36, June 2013.
  11. 西田京介, 星出高秀, 藤村考, 内山匡, "階層的オートタギング技術とその応用," 情報処理学会論文誌:データベース, Vol. 6, No. 1, pp. 29-40, January 2013.
  12. 西田京介, 坂野遼平, 藤村考, 星出高秀, "データ圧縮によるツイート話題分類," 日本データベース学会論文誌, Vol. 10, No. 1, pp. 1-6, June 2011.
  13. 西田京介, 藤村考, "階層的オートタギングによるQ&Aコミュニティの知識整理," 日本データベース学会論文誌, Vol. 9, No. 1, pp. 47-52, June 2010.
  14. 西田京介, "Concept Driftの学習と検出に関する研究 (学習と発見, <特集>人工知能分野における博士論文)," 人工知能学会誌, Vol. 24, No. 1, p. 111, January 2009
  15. 鳴海建太, 西田京介, 山内康一郎, "統計的手法と事例ベース手法を併用したスパムフィルタリング," 電子情報通信学会論文誌 D, Vol. J91-D, No. 11, pp. 2569-2578, November 2008.
  16. 西田京介, 島田章平, 石川悟, 山内康一郎, "人間行動に着想を得た突然かつ重大な学習対象変化の検出法," 電子情報通信学会論文誌 D, Vol. J91-D, No. 1, pp. 51-64, January 2008.
  17. 西田京介, 山内康一郎, 大森隆司, "Minimal Hyper Basis Function Networksを用いた次元選択付オンライン学習法," 電子情報通信学会論文誌 D-II, Vol. J88-D-II, No. 3, pp. 459-468, March 2005.

  1. Atsushi Otsuka, Kyosuke Nishida, Itsumi Saito, Hisako Asano, Junji Tomita, DBSJ Japanese Journal, Vol. 18-J, No. 16, March 2019. (in Japanese)
  2. Atsushi Otsuka, Kyosuke Nishida, Itsumi Saito, Hisako Asano, Junji Tomita, and Tetsuji Sato, "Reading Comprehension based Question Answering technique by Focusing on Identifying Question Intention", Transactions of the Japanese Society for Artificial Intelligence : AI, Vol. 34, No. 5, p. A-J14_1-12, September 2019. (in Japanese)
  3. Atsushi Otsuka, Kyosuke Nishida, Itsumi Saito, Hisako Asano, and Junji Tomita, "Neural Question Generation Model to Identify Question Intention", DBSJ Japanese Journal, Vol. 17-J, No. 6, March 2019. (in Japanese)
  4. Kyosuke Nishida, Yusuke Ijima, Shuhei Tarashima, "Frontier of End-to-End Deep Learning" (Technical Survey), Journal of Institute of Electronics, Information, and Communication Engineers, Vol.101, No.9, pp.920-925, September 2018. (in Japanese)
  5. Kyosuke Nishida, Itsumi Saito, "Latest Trends of Attention Mechanisms in Deep Learning" (Technical Survey), Journal of Institute of Electronics, Information, and Communication Engineers, Vol.101, No.6, pp.591-596, June 2018. (in Japanese)
  6. Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, and Yoshihiro Matsuo, "TabNet: A Hybrid Deep Neural Network for Understanding the Semantic Structure of Tables", DBSJ Japanese Journal, Vol. 16, No.16, March 2018. (in Japanese)
  7. Atsushi Otsuka, Katsuhito Bessho, Kyosuke Nishida, Hisako Asano, and Yoshihiro Matsuo, ”Neural Translation Model based Query Generation Method for Answer Document Retrieval”, DBSJ Japanese Journal, Vol. 16, No.4, March 2018. (in Japanese)
  8. Yoshiaki Takimoto, Kyosuke Nishida, Yuki Endo, Hiroyuki Toda, Hiroshi Sawada, and Yoshiharu Ishikawa, "Time-Aware Personalized Destination Prediction", IEICE Transactions on Information and Systems (Japanese Edition), D, Vol. J100-D, No. 4, pp. 472-484, April 2017. (in Japanese)
  9. Yuki Kurauchi, Kyosuke Nishida, Sho Kawanaka, Takahide Hoshide, and Tadasu Uchiyama, "Bot account detection using Benford’s law," DBSJ Journal, Vol. 12, No. 1, pp. 19-24, June 2013. (in Japanese)
  10. Jun Ito, Kyosuke Nishida, Takahide Hoshide, Hiroyuki Toda, and Tadasu Uchiyama, "Estimation of Twitter User Attributes by Learning from Users who have both Twitter and Blog Accounts and Utilizing User Homophily," DBSJ Journal, Vol. 12, No. 1, pp. 31-36, June 2013. (in Japanese)
  11. Kyosuke Nishida, Takahide Hoshide, Ko Fujimura, and Tadasu Uchiyama, "Hierarchical auto-tagging and its application," IPSJ Transactions on Databases,  Vol. 6, No.1, pp.29-40, January 2013. (in Japanese)
  12. Kyosuke Nishida, Ryohei Banno, Ko Fujimura, and Takahide Hoshide, "Tweet-Topic Classification using Data Compression," DBSJ Journal, Vol. 10, No. 1, pp. 1-6, June 2011.  (in Japanese)
  13. Kyosuke Nishida and Ko Fujimura, "Organizing Knowledge of Question Answering Community with Hierarchical Auto-Tagging," DBSJ Journal, Vol. 9, No. 1, pp. 47-52, June 2010. (in Japanese)
  14. Kyosuke Nishida, "Learning and Detecting Concept Drift (Learning and Discovery, <Special Issue> Doctorial Theses on Aritifical Intelligence)", Journal of JSAI, Vol. 24, No. 1, p. 111, January 2009. (in Japanese)
  15. Kenta Narumi, Kyosuke Nishida, and Koichiro Yamauchi, "Spam Filtering using Statistical and Instance-based Filters," IEICE Transactions on Information and Systems (Japanese Edition), Vol. J91-D, No. 11, pp. 2569-2578, November 2008. (in Japanese)
  16. Kyosuke Nishida, Shohei Shimada, Satoru Ishikawa, and Koichiro Yamauchi, "Detecting Sudden and Significant Concept Drift with a Method Inspired by Human Behavior," IEICE Transactions on Information and Systems (Japanese Edition), Vol. J91-D, No. 1, pp. 51-64, January 2008. (in Japanese)
  17. Kyosuke Nishida, Koichiro Yamauchi, and Takashi Omori, "An On-line Learning Algorithm with Dimension Selection using Minimal Hyper Basis Function Networks," IEICE Transactions on Information and Systems, PT.2 (Japanese Edition), Vol. J88-D-II, No. 3, pp. 459-468, March 2005. (in Japanese)