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Found 4 papers, 1 papers with code
Pixie: Preference in Implicit and Explicit Comparisons
We present Pixie, a manually annotated dataset for preference classification comprising 8, 890 sentences drawn from app reviews.
PACO: Provocation Involving Action, Culture, and Oppression
Further, we labeled 7, 000 sentences for three provocation categories and called this dataset PACO.
Extracting Incidents, Effects, and Requested Advice from MeToo Posts
We develop a natural language-based model to identify sentences from a post that describe any of the above three categories.
Reappraising Domain Generalization in Neural Networks
We find that the presence of multiple domains incentivizes domain agnostic learning and is the primary reason for generalization in Tradition DG.
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