Deep Learning for Identification of Adverse Effect Mentions In Twitter Data
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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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Memory Network
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Working Memory Models |