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Approach for Named Entity Recognition and Case Identification Implemented by ZuKyo-JA Sub-team at the NTCIR-16 Real-MedNLP Task


Fujimoto, Koji; Nishio, Mizuho; Sugiyama, Osamu; Ichikawa, Kana; Cornelius, Joseph; Lithgow-Serrano, Oscar; Kanjirangat, Vani; Rinaldi, Fabio; Horvath, Aron N; Nooralahzadeh, Farhad; Krauthammer, Michael (2022). Approach for Named Entity Recognition and Case Identification Implemented by ZuKyo-JA Sub-team at the NTCIR-16 Real-MedNLP Task. In: NTCIR 16 Conference: Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies, Tokyo, Japan, 14 June 2022 - 17 June 2022, 322-329.

Abstract

In this NTCIR-16 Real-MedNLP shared task paper, we present the methods of the ZuKyo-JA subteam for solving the Japanese part of Subtask1 and Subtask3 (Subtask1-CR-JA, Subtask1-RR- JA, Subtask3-RR-JA). Our solution is based on a sliding- window approach using a Japanese BERT pre-trained masked- language model., which was used as a common architecture for addressing the specific subtasks. We additionally present a method that makes extensive use of medical knowledge for the same case identification subtask3-RR-JA.

Abstract

In this NTCIR-16 Real-MedNLP shared task paper, we present the methods of the ZuKyo-JA subteam for solving the Japanese part of Subtask1 and Subtask3 (Subtask1-CR-JA, Subtask1-RR- JA, Subtask3-RR-JA). Our solution is based on a sliding- window approach using a Japanese BERT pre-trained masked- language model., which was used as a common architecture for addressing the specific subtasks. We additionally present a method that makes extensive use of medical knowledge for the same case identification subtask3-RR-JA.

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Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:07 Faculty of Science > Department of Quantitative Biomedicine
Dewey Decimal Classification:610 Medicine & health
Language:English
Event End Date:17 June 2022
Deposited On:25 Aug 2022 12:51
Last Modified:27 Oct 2023 14:21
ISBN:978-4-86049-082-9
OA Status:Green
Free access at:Related URL. An embargo period may apply.
Related URLs:http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings16/NTCIR/toc_ntcir.html
  • Content: Published Version
  • Language: English