A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction. Lin, C., Miller, T., Dligach, D., Bethard, S., & Savova, G. In Proceedings of the 2nd Clinical Natural Language Processing Workshop, pages 65-71, Minneapolis, Minnesota, USA, 6, 2019. Association for Computational Linguistics.
A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction [link]Paper  bibtex   
@InProceedings{lin-EtAl:2019:W19-19,
  author    = {Lin, Chen  and  Miller, Timothy  and  Dligach, Dmitriy  and  Bethard, Steven  and  Savova, Guergana},
  title     = {A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction},
  booktitle = {Proceedings of the 2nd Clinical Natural Language Processing Workshop},
  month     = {6},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {65-71},
  url       = {http://www.aclweb.org/anthology/W19-1908},
  keywords = {workshop paper, health applications, timelines, information extraction},
}
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