material ID: isarcasmeval

Related Papers

Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper describes the submission of the team Amrita_CEN to the shared task on iSarcasm Eval: Intended Sarcasm Detection in English and Arabic at SemEval 2022. We employed machine learning …...

25059

DUCS at SemEval-2022 Task 6: Exploring Emojis and Sentiments for Sarcasm Detection

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper describes the participation of team DUCS at SemEval 2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and Arabic. Team DUCS participated in SubTask A of iSarcasmEval …...

25035

FII UAIC at SemEval-2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and Arabic

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThe “iSarcasmEval - Intended Sarcasm Detection in English and Arabic” task at the SemEval 2022 competition focuses on detectingand rating the distinction between intendedand perceived sarcasm in the context of …...

24323

GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractSarcasm refers to the use of words that have different literal and intended meanings. It represents the usage of words that are opposite of what is literally said, especially in …...

25060

JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn this paper, we describe our submissions to SemEval-2022 contest. We tackled subtask 6-A - “iSarcasmEval: Intended Sarcasm Detection In English and Arabic – Binary Classification”. We developed different models …...

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PALI-NLP at SemEval-2022 Task 6: iSarcasmEval- Fine-tuning the Pre-trained Model for Detecting Intended Sarcasm

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper describes the method we utilized in the SemEval-2022 Task 6 iSarcasmEval: Intended Sarcasm Detection In English and Arabic. Our system has achieved 1st in SubtaskB, which is to …...

25061

R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasm

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper describes our system used for SemEval 2022 Task 6: iSarcasmEval: Intended Sarcasm Detection in English and Arabic. We participated in all subtasks based on only English datasets. Pre-trained …...

25031

SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractiSarcasmEval is the first shared task to target intended sarcasm detection: the data for this task was provided and labelled by the authors of the texts themselves. Such an approach …...

25062

YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn this paper, we (a YNU-HPCC team) describe the system we built in the SemEval-2022 competition. As participants in Task 6 (titled “iSarcasmEval: Intended Sarcasm Detection In English and Arabic”), …...

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