A neural joint model for entity and relation extraction from biomedical text
Abstract Background Extracting biomedical entities and their relations from text has important applications on biomedical research. Previous work primarily utilized feature-based pipeline models to process this task. Many efforts need to be made on feature engineering when feature-based models are e...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central
2017-03-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-017-1609-9 |