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.
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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