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High-Precision Biomedical Relation Extraction for Reducing Human Curation Efforts in Industrial Applications
2020
IEEE Access
The body of biomedical literature is growing at an unprecedented rate, exceeding the ability of researchers to make effective use of this knowledge-rich amount of information. This growth has created interest in biomedical relation extraction approaches to extract domain-specific knowledge for diverse applications. Despite the great progress in the techniques, the retrieved evidence still needs to undergo a time-consuming manual curation process to be truly useful. Most relation extraction
doi:10.1109/access.2020.3014862
fatcat:xhuubcxshjgvxmkjftwheivsz4