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- W3045790525 abstract "Automatic Sarcasm Detection in conversations is a difficult and tricky task. Classifying an utterance as sarcastic or not in isolation can be futile since most of the time the sarcastic nature of a sentence heavily relies on its context. This paper presents our proposed model, C-Net, which takes contextual information of a sentence in a sequential manner to classify it as sarcastic or non-sarcastic. Our model showcases competitive performance in the Sarcasm Detection shared task organised on CodaLab and achieved 75.0% F1-score on the Twitter dataset and 66.3% F1-score on Reddit dataset." @default.
- W3045790525 created "2020-08-03" @default.
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- W3045790525 date "2020-01-01" @default.
- W3045790525 modified "2023-10-17" @default.
- W3045790525 title "C-Net: Contextual Network for Sarcasm Detection" @default.
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- W3045790525 doi "https://doi.org/10.18653/v1/2020.figlang-1.8" @default.
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