BERT-GT: cross-sentence n-ary relation extraction with BERT and Graph Transformer
Abstract Motivation 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 formula...
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| Published in: | Bioinformatics 2021-04, Vol.36 (24), p.5678-5685 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Request full text |
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