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cs.CL2020★ 10 cited
Efficient long-distance relation extraction with DG-SpanBERT
Jun Chen, Robert Hoehndorf, Mohamed Elhoseiny +1
In natural language processing, relation extraction seeks to rationally understand unstructured text. Here, we propose a novel SpanBERT-based graph convolutional network (DG-SpanBE…
cs.CL2018
OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction
Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf
Motivation: Ontologies are widely used in biology for data annotation, integration, and analysis. In addition to formally structured axioms, ontologies contain meta-data in the for…