Intended Sarcasm Detection

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task ID: intendedsarcasmdetection

Related Papers

I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractSarcasm is often expressed through several verbal and non-verbal cues, e.g., a change of tone, overemphasis in a word, a drawn-out syllable, or a straight looking face. Most of the …...

25055

MarSan at SemEval-2022 Task 6: iSarcasm Detection via T5 and Sequence Learners

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThe paper describes SemEval-2022’s shared task “Intended Sarcasm Detection in English and Arabic.” This task includes English and Arabic tweets with sarcasm and non-sarcasm samples and irony speech labels. The …...

24322

reamtchka at SemEval-2022 Task 6: Investigating the effect of different loss functions for Sarcasm detection for unbalanced datasets

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper describes the system used in SemEval-2022 Task 6: Intended Sarcasm Detection in English and Arabic. Achieving 20th,3rd places with 34& 47 F1-Sarcastic score for task A, 16th place …...

25046