{"task":"Binary Relation Extraction","dataset":"BioRED","metric_names":["F1"],"rows":[{"id":8796,"task":"Binary Relation Extraction","parent_task":"Relation Extraction","dataset":"BioRED","model_name":"PubMedBERT","metrics":{"F1":"72.9"},"paper_url":"https://arxiv.org/abs/2204.04263v2","paper_title":"BioRED: A Rich Biomedical Relation Extraction Dataset","paper_date":"2022-04-08","code_links":[{"title":"ncbi/BioRED","url":"https://github.com/ncbi/BioRED"}],"metrics_order":"[\"F1\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]},{"id":8797,"task":"Binary Relation Extraction","parent_task":"Relation Extraction","dataset":"BioRED","model_name":"BERT-GT","metrics":{"F1":"72.1"},"paper_url":"https://arxiv.org/abs/2101.04158v1","paper_title":"BERT-GT: Cross-sentence n-ary relation extraction with BERT and Graph Transformer","paper_date":"2021-01-11","code_links":[],"metrics_order":"[\"F1\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]}]}