Bi-LSTM-CRF Network for Clinical Event Extraction With Medical Knowledge Features
Extracting clinical event expressions and their types from clinical text is a fundamental task for many applications in clinical NLP. State-of-the-art systems need handcraft features and do not take into account the representation of the low-frequency words. To address these issues, a Bi-LSTM-CRF ne...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9915568/ |