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CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic

arXiv 2206.08415 ↗First posted 16 Jun 2022cs.CLcited by 0

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Abstract (arXiv)

Sarcasm is a form of figurative language where the intended meaning of a sentence differs from its literal meaning. This poses a serious challenge to several Natural Language Processing (NLP) applications such as Sentiment Analysis, Opinion Mining, and Author Profiling. In this paper, we present our participating system to the intended sarcasm detection task in English and Arabic languages. Our systemfootnoteThe source code of our system is available at urlhttps://github.com/AbdelkaderMH/iSarcasmEval consists of three deep learning-based models leveraging two existing pre-trained language models for Arabic and English. We have participated in all sub-tasks. Our official submissions achieve the best performance on sub-task A for Arabic language and rank second in sub-task B. For sub-task C, our system is ranked 7th and 11th on Arabic and English datasets, respectively.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 14 of its 29 references that are in the map. First posted on arXiv 16 Jun 2022.

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References · 14

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  3. 2020AraBERT: Transformer-based Model for Arabic Language Understandingcited by 359
  4. 2020ARBERT & MARBERT: Deep Bidirectional Transformers for Arabiccited by 164
  5. 2021The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Modelscited by 118
  6. 2016Semi-Supervised Learning with Generative Adversarial Networkscited by 103
  7. 2019Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classificationcited by 62
  8. 2019iSarcasm: A Dataset of Intended Sarcasmcited by 39
  9. 2020A Report on the 2020 Sarcasm Detection Shared Taskcited by 23
  10. 2019SemEval-2014 Task 9: Sentiment Analysis in Twittercited by 20
  11. 2021Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Languagecited by 12
  12. 2019Exploring Author Context for Detecting Intended vs Perceived Sarcasmcited by 7
2 more
  1. 2021BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identificationcited by 7
  2. 2019Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approachcited by 4

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