Figurative language analysis, such as sarcasm and irony detection has established itself as one of the popular NLP tasks in the last decade . As the community working on computational approaches to such problems is growing it is imperative to conduct benchmarking studies to analyze the current state-of-the-art, thus facilitating progress in this area. In this paper we report on the shared task on sarcasm detection we conducted as a part of the 2nd Workshop on Figurative Language Processing ( FigLang2020 ) at ACL 2020.
Detecting sarcasm and verbal irony is critical for understanding people's actual sentiments and beliefs. Thus, the field of sarcasm analysis has become a popular research problem in natural language processing . As the community working on computational approaches for sarcasm detection is growing, it is imperative to conduct benchmarking studies to analyze the current state-of-the-art, facilitating progress in this area. We report on the shared task on sarcasm detection we conducted as a part of the 2nd Workshop on Figurative Language Processing ( FigLang 2020 ) at ACL 2020.
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Figurative language analysis, such as sarcasm and irony detection has established itself as one of the popular NLP tasks in the last decade
Detecting sarcasm and verbal irony is critical for understanding people's actual sentiments and beliefs. Thus, the field of sarcasm analysis has become a popular research problem in natural language processing
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to such problems is growing
for sarcasm detection is growing,
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thus
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In this paper we
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FigLang2020
FigLang 2020