HITSZ_CDR: an end-to-end chemical and disease relation extraction system for BioCreative V
In this article, an end-to-end system was proposed for the challenge task of disease named entity recognition (DNER) and chemical-induced disease (CID) relation extraction in BioCreative V, where DNER includes disease mention recognition (DMR) and normalization (DN). Evaluation on the challenge corp...
| Main Authors: | , , , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Oxford University Press
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911788/ |