| アイテムタイプ |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2025-05-30 |
| タイトル |
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タイトル |
Assessing Authenticity and Anonymity of Synthetic User-generated Content in the Medical Domain |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ |
conference paper |
| アクセス権 |
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アクセス権 |
open access |
| 著者 |
Nishiyama, Tomohiro
Reithel, Lisa
Roller, Rolland
Zweigenbaum, Pierre
荒牧, 英治
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| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
Since medical text cannot be shared easily due to privacy concerns, synthetic data bears much potential for natural language processing applications. In the context of social media and user-generated messages about drug intake and adverse drug effects, this work presents different methods to examine the authenticity of synthetic text. We conclude that the generated tweets are untraceable and show enough authenticity from the medical point of view to be used as a replacement for a real Twitter corpus. However, original data might still be the preferred choice as they contain much more diversity. |
| 書誌情報 |
en : Proceedings of the Workshop on Computational Approaches to Language Data Pseudonymization (CALD-pseudo 2024)
p. 8-17,
発行日 2024-03-21
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| 会議情報 |
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会議名 |
In Proceedings of the Workshop on Computational Approaches to Language Data Pseudonymization (CALD-pseudo 2024) |
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開始年 |
2024 |
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開始月 |
03 |
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開始日 |
21 |
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終了年 |
2024 |
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終了月 |
03 |
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終了日 |
21 |
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開催地 |
St. Julian’s |
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開催国 |
MLT |
| 出版者 |
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出版者 |
Association for Computational Linguistics |
| 出版者版URI |
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関連タイプ |
isReplacedBy |
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識別子タイプ |
URI |
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関連識別子 |
https://aclanthology.org/2024.caldpseudo-1.2/ |
| 権利 |
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権利情報Resource |
https://creativecommons.org/licenses/by/4.0/ |
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権利情報 |
$00A92024 Association for Computational Linguistics |
| 著者版フラグ |
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出版タイプ |
NA |
| 助成情報 |
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助成機関名 |
NCGM |
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研究課題番号 |
JPJ012425 |
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研究課題名 |
Cross-ministerial Strategic Innovation Promotion Program (SIP) on “Integrated Health Care System” |
| 助成情報 |
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助成機関名 |
Japan Science and Technology Agency(JST) |
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研究課題番号 |
JPMJCR20G9 |
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研究課題名 |
医薬品安全性監視のための言語を超えた知識強化情報抽出(KEEPHA) |
| 助成情報 |
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助成機関名 |
Agence Nationale de la Recherche(ANR) |
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研究課題番号 |
ANR-20-IADJ-0005-01 |
| 助成情報 |
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助成機関名 |
Deutsche Forschungsgemeinschaft (DFG) |
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研究課題番号 |
DFG-442445488 |
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研究課題名 |
Mehrsprachige wissensverbesserte Informationsextraktion f$00FCr die Pharmakovigilanz |
| 助成情報 |
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助成機関名 |
German Federal Ministry of Education and Research |
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研究課題番号 |
BIFOLD24B |
