Fast and scalable neural embedding models for biomedical sentence classification
Abstract Background Biomedical literature is expanding rapidly, and tools that help locate information of interest are needed. To this end, a multitude of different approaches for classifying sentences in biomedical publications according to their coarse semantic and rhetoric categories (e.g., Backg...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-12-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-018-2496-4 |