A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	American English
Title of host publication	Proceedings of ClinicalNLP 2019: The 2nd Clinical Natural Language Processing Workshop held in conjunction with NAACL 2019
State	Published - Jun 2019

Cite this

A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction. / Lin, Chen; Miller, Timothy; Dligach, Dmitriy et al.
Proceedings of ClinicalNLP 2019: The 2nd Clinical Natural Language Processing Workshop held in conjunction with NAACL 2019. 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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title = "A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction",

author = "Chen Lin and Timothy Miller and Dmitriy Dligach and Steven Bethard and Savova, \{Guergana K.\}",

year = "2019",

month = jun,

language = "American English",

booktitle = "Proceedings of ClinicalNLP 2019: The 2nd Clinical Natural Language Processing Workshop held in conjunction with NAACL 2019",

}

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T1 - A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction

AU - Lin, Chen

AU - Miller, Timothy

AU - Dligach, Dmitriy

AU - Bethard, Steven

AU - Savova, Guergana K.

PY - 2019/6

Y1 - 2019/6

M3 - Conference contribution

BT - Proceedings of ClinicalNLP 2019: The 2nd Clinical Natural Language Processing Workshop held in conjunction with NAACL 2019

ER -