Deep contextualized word representations for detecting sarcasm and irony
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. We test our model on 7 different datasets derived …
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. We test our model on 7 different datasets derived …
以上显示的是最相近的搜索结果。 查看全部搜索结果