Deep contextualized word representations for detecting sarcasm and irony

WS 2018 Suzana IlićEdison Marrese-TaylorJorge A. BalazsYutaka Matsuo

Predicting context-dependent and non-literal utterances like sarcastic and ironic expressions still remains a challenging task in NLP, as it goes beyond linguistic patterns, encompassing common sense and shared knowledge as crucial components. To capture complex morpho-syntactic features that can usually serve as indicators for irony or sarcasm across dynamic contexts, we propose a model that uses character-level vector representations of words, based on ELMo... (read more)

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