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- W2583742783 abstract "Automatic satire detection is a subtle text classification task, for machines and at times, even for humans. In this paper we argue that satire detection should be approached using common-sense inferences, rather than traditional text classification methods. We present a highly structured latent variable model capturing the required inferences. The model abstracts over the specific entities appearing in the articles, grouping them into generalized categories, thus allowing the model to adapt to previously unseen situations." @default.
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- W2583742783 date "2016-12-01" @default.
- W2583742783 modified "2023-10-16" @default.
- W2583742783 title "Understanding Satirical Articles Using Common-Sense" @default.
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- W2583742783 doi "https://doi.org/10.1162/tacl_a_00116" @default.
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