SHINRA Publications/ Related Works

Publications

Project SHINRA

• [Nakayama2021a] Kouta Nakayama, Shuhei Kurita, Yukino Baba, and Satoshi Sekine,
  能動的サンプリングを用いたリソース構築共有タスクにおける予測対象データ削減, In Proceedings of the 27th annual meeting of the Association for Natural Language Processing, pp.1187-1192, 2021 (In Japanese). [paper] [poster]
• [Sekine2021a] Satoshi Sekine, Masako Nomoto, Kouta Nakayama, Asuka Sumida, Koji Matsuda, Maya Ando,
  SHINRA2020-ML:30 言語の Wikipedia ページの分類, In Proceedings of the 27th annual meeting of the Association for Natural Language Processing, pp.563-568, 2021 (In Japanese). [paper][poster]
• [Sekine2020b] Satoshi Sekine, Masako Nomoto, Kouta Nakayama, Asuka Sumida, Koji Matsuda, and Maya Ando,
  Overview of SHINRA2020-ML Task, In Proceedings of the NTCIR-15 Conference.[slide], [poster]
• [Bui2020] The Viet Bui and Phuong Le-Hong,
  Cross-lingual Extended Named Entity Classification of Wikipedia Articles, In Proceedings of the NTCIR-15 Conference.
• [Cardoso2020] Rúben Cardoso, Afonso Mendes and Andre Lamurias,
  Priberam Labs at the NTCIR-15 SHINRA2020-ML: Classification Task, In Proceedings of the NTCIR-15 Conference.
• [Abhishek2020] Tushar Abhishek, Ayush Agarwal, Anubhav Sharma, Vasudeva Varma and Manish Gupta,
  Rehoboam at the NTCIR-15 SHINRA2020-ML Task, In Proceedings of the NTCIR-15 Conference.
• [Yoshikawa2020] Hiyori Yoshikawa, Chunpeng Ma, Aili Shen, Qian Sun, Chenbang Huang, Guillaume Pelat, Akiva Miura, Daniel Beck, Timothy Baldwin and Tomoya Iwakura,
  UOM-FJ at the NTCIR-15 SHINRA2020-ML Task, In Proceedings of the NTCIR-15 Conference.
• [Nakayama2020b] Kouta Nakayama and Satoshi Sekine,
  LIAT Team’s Wikipedia Classifier at NTCIR-15 SHINRA2020-ML: Classification Task, In Proceedings of the NTCIR-15 Conference.
• [Yoshioka2020] Masaharu Yoshioka and Yoshiaki Koitabashi,
  HUKB at SHINRA2020-ML task, In Proceedings of the NTCIR-15 Conference.
• [Nishikawa2020] Sosuke Nishikawa and Ikuya Yamada,
  Studio Ousia at the NTCIR-15 SHINRA2020-ML Task, In Proceedings of the NTCIR-15 Conference.
• [Nakayama2020a] 中山功太, 栗田修平, 小林暁雄, 関根聡,
  Pre-Distillation Ensemble:リソース構築タスクのためのアンサンブル手法, In Proceedings of the 26th annual meeting of the Association for Natural Language Processing, pp.375-378, 2020 (in Japanese).
• [Kobayashi2020] Akio Kobayashi, Kouta Nakayama, Maya Ando, and Satoshi Sekine,
  SHINRA2019-JP: Project on Structuring Wikipedia, In Proceedings of the 26th annual meeting of the Association for Natural Language Processing, pp.1029-1032, 2020 (in Japanese).
• [Sekine2020a] Satoshi Sekine, Maya Ando, Akio Kobayashi, and Asuka Sumida,
  Update of Extended Named Entity Definition and Categorization Data on Japanese Wikipedia 2019 version, In Proceedings of the 26th annual meeting of the Association for Natural Language Processing, pp.1221-1224, 2020 (in Japanese).
• [Sekine2019b] Satoshi Sekine, Akio Kobayashi, and Kouta Nakayama,
  SHINRA: Structuring Wikipedia by Collaborative Contribution, In Proceedings of the 1st conference on the Automated Knowledge Base Construction (AKBC 2019), 2019.
• [Sekine2019a] Satoshi Sekine, Akio Kobayashi, and Maya Ando,
  SHINRA2018: Project on Structuring Wikipedia, In Proceedings of the 25th annual meeting of the Association for Natural Language Processing, pp.69-72, 2019 (in Japanese).
• [Kobayashi2019] Akio Kobayashi, Kouta Nakayama, and Satoshi Sekine,
  Analyses of the Result of SHINRA2018: Project on Structuring Wikipedia, In Proceedings of the 25th annual meeting of the Association for Natural Language Processing, pp.538-541, 2019 (in Japanese).
• [Hentona2019] Asahi Hentona, Hirofumi Nonaka, Akio Kobayashi, and Satoshi Sekine,
  外部知識源を使用したWikipediaからの化合物情報抽出, In Proceedings of the 25th annual meeting of the Association for Natural Language Processing, pp.791-794, 2019 (in Japanese).
• [Nakayama2019] Kouta Nakayama, Akio Kobayashi, and Satoshi Sekine,
  Ensemble Learning on shared-task of attribute-value extraction using GA based weighted voting, In Proceedings of the 25th annual meeting of the Association for Natural Language Processing, pp.1547-1550, 2019 (in Japanese).

Related Works

• [Suzuki2018] Masatoshi SUZUKI, Koji MATSUDA, Satoshi SEKINE, Naoaki OKAZAKI and Kentaro INUI,
  A Joint Neural Model for Fine-Grained Named Entity Classification of Wikipedia Articles‘, IEICE Transactions on Information and Systems, E101.D-1, pp.73-81, 2018.
• [Sekine2018] Satoshi Sekine, Maya Ando, Akio Kobayashi, Koji Matsuda, Masatoshi Suzuki, Duc Nguyen, and Kentaro Inui,
  ‘Extended Named Entity＋Wikipedia’ Data（Final edition for Wikipedia November 2015 version）, In Proceedings of the 24th annual meeting of the Association for Natural Language Processing, pp.504-507, 2018 (in Japanese).
• [Sekine2002] Satoshi Sekine, Kiyoshi Sudo, and Chikashi Nobata,
  Extended Named Entity Hierarchy. In Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02), 2002.
• [Sekine2000] Satoshi Sekine and Yoshio Eriguchi,
  Japanese Named Entity Extraction Evaluation – Analysis of Results –, In Proceedings of the 18th International Conference on Computational Linguistics (COLING’00), vol.2, pp.1106-110, 2000.
• [Grishman1996] Ralph Grishman and Beth Sundheim,
  Message Understanding Conference – 6: A Brief History, In Proceedings of the 16th conference on Computational linguistics (COLING’96), vol.1, pp.466-471, 1996.