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A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction
Chen Lin
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Timothy Miller
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Dmitriy Dligach
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Steven Bethard
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Guergana Savova
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Paper Details:
Month: June
Year: 2019
Location: Minneapolis, Minnesota, USA
Venue:
NAACL |
WS |
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http://ctakes.apache.org
https://d4mucfpksywv.cloudfront.net/better-
Field Of Study
Linguistic Trends
Embeddings
Task
Information Extraction
Relation Extraction
Biomedical
Language
English