mlsanityData to 7 Oct 2026

Sarcasm Detection using Hybrid Neural Network

arXiv 1908.07414 ↗First posted 20 Aug 2019cs.LG stat.MLcited by 23

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Abstract (arXiv)

Sarcasm Detection has enjoyed great interest from the research community, however the task of predicting sarcasm in a text remains an elusive problem for machines. Past studies mostly make use of twitter datasets collected using hashtag based supervision but such datasets are noisy in terms of labels and language. To overcome these shortcoming, we introduce a new dataset which contains news headlines from a sarcastic news website and a real news website. Next, we propose a hybrid Neural Network architecture with attention mechanism which provides insights about what actually makes sentences sarcastic. Through experiments, we show that the proposed model improves upon the baseline by ~ 5% in terms of classification accuracy.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Aug 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 8; 2023: 2; 2024: 2; 2025: 6; 2026: 1.

23 papers.

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  1. 2023Goal Driven Discovery of Distributional Differences via Language Descriptionscited by 61
  2. 2022News Category Datasetcited by 42
  3. 2022UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentationcited by 5
  4. 2022Cyclical Curriculum Learningcited by 4
  5. 2022News Headlines Dataset For Sarcasm Detectioncited by 4
  6. 2025Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depthcited by 4
  7. 2025Commander-GPT: Fully Unleashing the Sarcasm Detection Capability of Multi-Modal Large Language Modelscited by 3
  8. 2021Does Commonsense help in detecting Sarcasm?cited by 2
  9. 2022Computational Sarcasm Analysis on Social Media: A Systematic Reviewcited by 2
  10. 2023Retrieval-Augmented Meta Learning for Low-Resource Text Classificationcited by 2
  11. 2024Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detectioncited by 2
  12. 2021Leveraging Multi-domain, Heterogeneous Data using Deep Multitask Learning for Hate Speech Detectioncited by 1
11 more
  1. 2022Development and Comparison of Scoring Functions in Curriculum Learningcited by 1
  2. 2025A Transformer and Prototype-based Interpretable Model for Contextual Sarcasm Detectioncited by 1
  3. 2025Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Taskscited by 1
  4. 2021Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social mediacited by 0
  5. 2021Compressibility of Distributed Document Representationscited by 0
  6. 2022A Robust Optimization Method for Label Noisy Datasets Based on Adaptive Threshold: Adaptive-kcited by 0
  7. 2022Finetuning for Sarcasm Detection with a Pruned Datasetcited by 0
  8. 2024Investigating Semi-Supervised Learning Algorithms in Text Datasetscited by 0
  9. 2025SaRoHead: Detecting Satire in a Multi-Domain Romanian News Headline Datasetcited by 0
  10. 2025MuSaRoNews: A Multidomain, Multimodal Satire Dataset from Romanian News Articlescited by 0
  11. 2026J-Miner: Recovering the Decision Logic of Fine-Tuned LLM Classifiers as Compact Rulescited by 0