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BERT-GT: Cross-sentence n-ary relation extraction with BERT and Graph Transformer
[article]
2021
arXiv
pre-print
A biomedical relation statement is commonly expressed in multiple sentences and consists of many concepts, including gene, disease, chemical, and mutation. To automatically extract information from biomedical literature, existing biomedical text-mining approaches typically formulate the problem as a cross-sentence n-ary relation-extraction task that detects relations among n entities across multiple sentences, and use either a graph neural network (GNN) with long short-term memory (LSTM) or an
arXiv:2101.04158v1
fatcat:atyb4ymse5fxdlrszglb6dsogm