conftrace_

Deahan Yu

3 papers · 2019–2020 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver

Venues

ACL (2) COLING (1)

Top co-authors

V.G.Vinod Vydiswaran (3) Xinyan Zhao (2) Danny Teng (1) Grace Ganzel (1) Olawunmi Oduyebo (1) Bryan Romas (1) Matteo Althoen (1) Aulia Song (1) Neel Patel (1) Ermioni Carr (1)

Research topics

Machine Learning (3) Application Areas (3) Deep Learning (2) Healthcare & Medicine (2) Natural Language Processing (2) Architectures (2) Clinical (2) Learning Types · Machine Learning (2) Understanding (2) Learning Types · Deep Learning (1)

Keywords

named entity recognition (3) text classification (3) deep learning (2) adverse drug event (2) adverse drug reaction (1) text processing (1) social media mining (1) tweet processing (1) attention mechanism (1) bidirectional lstm (1) text processing pipeline (1)

Papers

Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020 COLING 2020 Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation ACL 2019 Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1 ACL 2019