Search Results for author: V.G.Vinod Vydiswaran

Found 4 papers, 0 papers with code

Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020

no code implementations SMM4H (COLING) 2020 V.G.Vinod Vydiswaran, Deahan Yu, Xinyan Zhao, Ermioni Carr, Jonathan Martindale, Jingcheng Xiao, Noha Ghannam, Matteo Althoen, Alexis Castellanos, Neel Patel, Daniel Vasquez

The team from the University of Michigan participated in three tasks in the Social Media Mining for Health Applications (#SMM4H) 2020 shared tasks – on detecting mentions of adverse effects (Task 2), extracting and normalizing them (Task 3), and detecting mentions of medication abuse (Task 4).

Task 2

Identifying Usage Expression Sentences in Consumer Product Reviews

no code implementations IJCNLP 2017 Shibamouli Lahiri, V.G.Vinod Vydiswaran, Rada Mihalcea

The system combines lexical, syntactic, and semantic features in a product-agnostic fashion to yield good classification performance.

Classification General Classification

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