mlsanityData to 14 Oct 2026

Deep contextualized word representations for detecting sarcasm and irony

arXiv 1809.09795 ↗First posted 26 Sep 2018cs.CLcited by 18

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Abstract (arXiv)

Predicting context-dependent and non-literal utterances like sarcastic and ironic expressions still remains a challenging task in NLP, as it goes beyond linguistic patterns, encompassing common sense and shared knowledge as crucial components. To capture complex morpho-syntactic features that can usually serve as indicators for irony or sarcasm across dynamic contexts, we propose a model that uses character-level vector representations of words, based on ELMo. We test our model on 7 different datasets derived from 3 different data sources, providing state-of-the-art performance in 6 of them, and otherwise offering competitive results.

Key facts. Cited by 18 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Sep 2018.

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Citing papers per year: 2021: 3; 2022: 4; 2023: 6; 2024: 2; 2025: 3.

18 papers.

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  1. 2023On Sarcasm Detection with OpenAI GPT-based Modelscited by 8
  2. 2021Sarcasm Detection: A Comparative Studycited by 6
  3. 2022A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectivescited by 6
  4. 2022UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentationcited by 5
  5. 2023ContrastNER: Contrastive-based Prompt Tuning for Few-shot NERcited by 3
  6. 2022Computational Sarcasm Analysis on Social Media: A Systematic Reviewcited by 2
  7. 2022Sarcasm Detection Framework Using Context, Emotion and Sentiment Featurescited by 2
  8. 2024Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detectioncited by 2
  9. 2021Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literaturecited by 1
  10. 2023"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with Emoji Using Valence Reversal and Semantic Incongruitycited by 1
  11. 2024Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Featurescited by 1
  12. 2025A Transformer and Prototype-based Interpretable Model for Contextual Sarcasm Detectioncited by 1
6 more
  1. 2021Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social mediacited by 0
  2. 2023Automatic Detection of Industry Sectors in Legal Articles Using Machine Learning Approachescited by 0
  3. 2023Researchers eye-view of sarcasm detection in social media textual contentcited by 0
  4. 2023UT5: Pretraining Non autoregressive T5 with unrolled denoisingcited by 0
  5. 2025Assessing how hyperparameters impact Large Language Models' sarcasm detection performancecited by 0
  6. 2025Odin: Oriented Dual-module Integration for Text-rich Network Representation Learningcited by 0