Papers by Susmitha Wunnava

1 papers
A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events (2020.findings-emnlp)

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Challenge: Adverse drug events (ADEs) are a leading cause of death in the United States and cost around $30 $130 billion every year.
Approach: They propose a multi-grained joint deep network to learn ADE entity recognition and ADE sentence classification tasks.
Outcome: The proposed model improves state-of-art F1 score on the MADE 1.0 benchmark of EHR notes.

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