Multilingual Negation Scope Resolution for Clinical Text
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Multilingual Negation Scope Resolution for Clinical Text. / lwp876, lwp876; Søgaard, Anders.
Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis. Association for Computational Linguistics, 2022. p. 7–18.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Multilingual Negation Scope Resolution for Clinical Text
AU - lwp876, lwp876
AU - Søgaard, Anders
PY - 2022
Y1 - 2022
N2 - Negation scope resolution is key to high-quality information extraction from clinical texts, but so far, efforts to make encoders used for information extraction negation-aware have been limited to English. We present a universal approach to multilingual negation scope resolution, that overcomes the lack of training data by relying on disparate resources in different languages and domains. We evaluate two approaches to learn from these resources, training on combined data and training in a multi-task learning setup. Our experiments show that zero-shot scope resolution in clinical text is possible, and that combining available resources improves performance in most cases.
AB - Negation scope resolution is key to high-quality information extraction from clinical texts, but so far, efforts to make encoders used for information extraction negation-aware have been limited to English. We present a universal approach to multilingual negation scope resolution, that overcomes the lack of training data by relying on disparate resources in different languages and domains. We evaluate two approaches to learn from these resources, training on combined data and training in a multi-task learning setup. Our experiments show that zero-shot scope resolution in clinical text is possible, and that combining available resources improves performance in most cases.
M3 - Article in proceedings
SP - 7
EP - 18
BT - Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis
PB - Association for Computational Linguistics
T2 - 12th International Workshop on Health Text Mining and Information Analysis
Y2 - 19 April 2021 through 19 April 2021
ER -
ID: 300450254