書誌事項
- 公開日
- 2023-12-12
- 資源種別
- conference paper
- DOI
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- 10.20736/0002001327
- 公開者
- NII Institutional Repository
説明
This paper presents the Social Media Adverse Drug Event Detection (SM-ADE) subtask as part of the shared task Medical Natural Language Processing for Social Media and Clinical Texts (MedNLP- SC) at NTCIR-17. The SM-ADE subtask aims to identify a set of symptoms caused by a drug, referred to as adverse drug event (ADE) detection, within social media texts in multiple languages, including Japanese, English, French, and German. The competition attracted 26 teams, of which eight submitted official runs for the SM-ADE subtask. We believe this task will be essential to develop core technologies of practical medical applications in the near future.
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詳細情報 詳細情報について
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- CRID
- 1390861770529809152
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- 本文言語コード
- en
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- 資料種別
- conference paper
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- データソース種別
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- JaLC
- IRDB
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- 抄録ライセンスフラグ
- 使用可