BioRelEx 1.0: Biological Relation Extraction Benchmark

@inproceedings{Khachatrian2019BioRelEx1B,
  title={BioRelEx 1.0: Biological Relation Extraction Benchmark},
  author={Hrant Khachatrian and Lilit Nersisyan and Karen Hambardzumyan and Tigran Galstyan and Anna Hakobyan and Arsen Arakelyan and A. Rzhetsky and A. G. Galstyan},
  booktitle={BioNLP@ACL},
  year={2019}
}
Automatic extraction of relations and interactions between biological entities from scientific literature remains an extremely challenging problem in biomedical information extraction and natural language processing in general. One of the reasons for slow progress is the relative scarcity of standardized and publicly available benchmarks. In this paper we introduce BioRelEx, a new dataset of fully annotated sentences from biomedical literature that capture binding interactions between proteins… 

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