A transfer learning model with multi-source domains for biomedical event trigger extraction
Abstract Background Automatic extraction of biomedical events from literature, that allows for faster update of the latest discoveries automatically, is a heated research topic now. Trigger word recognition is a critical step in the process of event extraction. Its performance directly influences th...
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| Format: | Article |
| Language: | English |
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BMC
2021-01-01
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| Series: | BMC Genomics |
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| Online Access: | https://doi.org/10.1186/s12864-020-07315-1 |