Deep Learning for Identification of Adverse Effect Mentions In Twitter Data

WS 2019 Paul BarryOzlem Uzuner

Social Media Mining for Health Applications (SMM4H) Adverse Effect Mentions Shared Task challenges participants to accurately identify spans of text within a tweet that correspond to Adverse Effects (AEs) resulting from medication usage (Weissenbacher et al., 2019). This task features a training data set of 2,367 tweets, in addition to a 1,000 tweet evaluation data set... (read more)

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