---
title: "Who cites Diana Maynard — 88 papers of our library"
description: "88 papers of the Elamur Research library cite the works of Diana Maynard, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/diana-maynard/cited-by/"
---
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# Who cites Diana Maynard

88 citations of their works from 88 papers of our library (of the 149,439 whose bibliographies we read) · 63 with a page here, the most cited first · [← Diana Maynard](https://md.research.elamur.ai/free/en/authors/diana-maynard/)

1. **[SemEval-2018 Task 3: Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/hee-2018-semeval-2018-task-3-irony/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 467 citations*
2. **[Harnessing Context Incongruity for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/joshi-2015-harnessing-context-incongruity-sarcasm-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya*2015 · 417 citations*
3. **[A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/poria-2016-deeper-look-into-sarcastic-tweets/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al.*2016 · 335 citations*
4. [**Automatic Sarcasm Detection: A Survey arXiv:1602.03426**Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman*2016 · 216 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-automatic-sarcasm-detection-survey/)
5. **[Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/pan-2020-modeling-intra-inter-modality-incongruity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongliang Pan, Zheng Lin, Peng Fu, et al.*2020 · 182 citations*
6. [**SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic**Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.*2022 · 146 citations*](https://md.research.elamur.ai/free/en/papers/farha-2022-semeval-2022-task-6-isarcasmeval/)
7. **[Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words](https://md.research.elamur.ai/free/en/papers/ghosh-2015-sarcastic-or-not-word-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Debanjan Ghosh, Weiwei Guo, Smaranda Muresan*2015 · 142 citations*
8. **[Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/mishra-2017-learning-cognitive-features-gaze-data/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya*2017 · 141 citations*
9. **[Sarcasm Analysis Using Conversation Context](https://md.research.elamur.ai/free/en/papers/ghosh-2018-sarcasm-analysis-conversation-context/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan*2018 · 119 citations*
10. **[Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm](https://md.research.elamur.ai/free/en/papers/khattri-2015-your-sentiment-precedes-you-author/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, et al.*2015 · 115 citations*
11. **[Offensive Language and Hate Speech Detection for Danish](https://md.research.elamur.ai/free/en/papers/sigurbergsson-2020-offensive-language-hate-speech-detection/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Gudbjartur Ingi Sigurbergsson, Leon Derczynski*2020 · 107 citations*
12. **[Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational Applications](https://md.research.elamur.ai/free/en/papers/benamara-2017-evaluative-language-beyond-bags-words/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Farah Benamara, Maite Taboada, Yannick Mathieu*2017 · 104 citations*
13. **[Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation](https://md.research.elamur.ai/free/en/papers/peled-2017-sarcasm-sign-interpreting-sarcasm-sentiment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lotem Peled, Roi Reichart*2017 · 95 citations*
14. **[A Report on the 2020 Sarcasm Detection Shared Task](https://md.research.elamur.ai/free/en/papers/ghosh-2020-report-2020-sarcasm-detection-shared/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan*2020 · 92 citations*
15. **[Harnessing Cognitive Features for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/mishra-2016-harnessing-cognitive-features-sarcasm-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.*2016 · 85 citations*
16. **[Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations](https://md.research.elamur.ai/free/en/papers/abercrombie-2016-putting-sarcasm-detection-into-context/) [ACL Student Research Workshop](https://md.research.elamur.ai/free/en/venues/acl-student-research-workshop/)**Gavin Abercrombie, Dirk Hovy*2016 · 85 citations*
17. **[A Novel Hierarchical BERT Architecture for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/srivastava-2020-novel-hierarchical-bert-architecture-sarcasm/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Himani Srivastava, Vaibhav Varshney, Surabhi Kumari, et al.*2020 · 62 citations*
18. [**Monday mornings are my fave :) #not Exploring the Automatic Recognition of Irony in English tweets**Cynthia Van Hee, Els Lefever, Véronique Hoste*2016 · 60 citations*](https://md.research.elamur.ai/free/en/papers/hee-2016-monday-mornings-are-my-fave/)
19. [**iSarcasm: A Dataset of Intended Sarcasm**Silviu Oprea, Walid Magdy*2020 · 58 citations*](https://md.research.elamur.ai/free/en/papers/oprea-2020-isarcasm-dataset-intended-sarcasm/)
20. **[Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/ataei-2020-applying-transformers-aspect-based-sentiment/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Taha Shangipour ataei, Soroush Javdan, Behrouz Minaei-Bidgoli*2020 · 56 citations*
21. **[Exploring the Realization of Irony in Twitter Data](https://md.research.elamur.ai/free/en/papers/hee-2016-exploring-realization-irony-twitter-data/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Cynthia Van Hee, Els Lefever, Véronique Hoste*2016 · 48 citations*
22. **[Exploring Author Context for Detecting Intended vs Perceived Sarcasm](https://md.research.elamur.ai/free/en/papers/oprea-2019-exploring-author-context-detecting-intended/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Silviu Oprea, Walid Magdy*2019 · 47 citations*
23. **[Annotating Sentiment and Irony in the Online Italian Political Debate on #labuonascuola](https://md.research.elamur.ai/free/en/papers/stranisci-2016-annotating-sentiment-irony-online-italian/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Marco Stranisci, Cristina Bosco, Delia Irazú Hernández Farías, et al.*2016 · 45 citations*
24. [**We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 39 citations*](https://md.research.elamur.ai/free/en/papers/hee-2018-we-usually-don-t-like/)
25. **[C-Net: Contextual Network for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/jena-2020-c-net-contextual-network-sarcasm/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Amit Kumar Jena, Aman Sinha, Rohit Agarwal*2020 · 38 citations*
26. **[A Multimodal Corpus for Emotion Recognition in Sarcasm](https://md.research.elamur.ai/free/en/papers/ray-2022-multimodal-corpus-emotion-recognition-sarcasm/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anupama Ray, Shubham Mishra, Apoorva Nunna, et al.*2022 · 35 citations*
27. **[Neural Sarcasm Detection using Conversation Context](https://md.research.elamur.ai/free/en/papers/jaiswal-2020-neural-sarcasm-detection-conversation-context/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Nikhil Jaiswal*2020 · 32 citations*
28. **[ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm](https://md.research.elamur.ai/free/en/papers/farias-2015-valento-sentiment-analysis-figurative-language/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Delia Irazú Hernández Farías, Emilio Sulis, Viviana Patti, et al.*2015 · 28 citations*
29. **[Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/guo-2021-latent-optimized-adversarial-neural-transfer/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xu Guo, Boyang Li, Han Yu, et al.*2021 · 27 citations*
30. [**A Survey of Multimodal Sarcasm Detection arXiv:2410.18882**Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, et al.*2024 · 26 citations*](https://md.research.elamur.ai/free/en/papers/farabi-2024-survey-multimodal-sarcasm-detection/)
31. **[Machine Learning-Based Model for Sentiment and Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/nayel-2021-machine-learning-based-model-sentiment/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hamada Nayel, Eslam Amer, Aya Allam, et al.*2021 · 25 citations*
32. **[Detecting Sarcasm is Extremely Easy ;-)](https://md.research.elamur.ai/free/en/papers/parde-2018-detecting-sarcasm-is-extremely-easy/) [Workshop on Computational Semantics beyond Events and Roles](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-semantics-beyond-events-and-roles/)**Natalie Parde, Rodney Nielsen*2018 · 24 citations*
33. [**A Survey on Automated Sarcasm Detection on Twitter arXiv:2202.02516**Bleau Moores, Vijay Mago*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/moores-2022-survey-automated-sarcasm-detection-twitter/)
34. **[Perceived and Intended Sarcasm Detection with Graph Attention Networks](https://md.research.elamur.ai/free/en/papers/plepi-2021-perceived-intended-sarcasm-detection-graph-2021-findings-emnlp-408/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joan Plepi, Lucie Flek*2021 · 18 citations*
35. **[Does Commonsense help in detecting Sarcasm?](https://md.research.elamur.ai/free/en/papers/chowdhury-2021-does-commonsense-help-detecting-sarcasm/) [Workshop on Insights from Negative Results in NLP](https://md.research.elamur.ai/free/en/venues/insights/)**Somnath Basu Roy Chowdhury, Snigdha Chaturvedi*2021 · 17 citations*
36. **[Ciron: a New Benchmark Dataset for Chinese Irony Detection](https://md.research.elamur.ai/free/en/papers/xiang-2020-ciron-new-benchmark-dataset-chinese/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Rong Xiang, Xuefeng Gao, Yunfei Long, et al.*2020 · 17 citations*
37. **[Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction](https://md.research.elamur.ai/free/en/papers/min-2023-just-like-human-would-direct/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changrong Min, Ximing Li, Liang Yang, et al.*2023 · 16 citations*
38. **[The Effect of Sociocultural Variables on Sarcasm Communication Online](https://md.research.elamur.ai/free/en/papers/oprea-2020-effect-sociocultural-variables-sarcasm-communication/) [Proceedings of the ACM on Human-Computer Interaction](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-acm-on-human-computer-interaction/)**Silviu Vlad Oprea, Walid Magdy*2020 · 15 citations*
39. **[#NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/pamungkas-2018-nondicevosulserio-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Endang Wahyu Pamungkas, Viviana Patti*2018 · 14 citations*
40. **[Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/farha-2022-sarcasm-detection-is-way-too/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ibrahim Abu Farha, Steven Wilson, Silviu Oprea, et al.*2022 · 13 citations*
41. **[CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic](https://md.research.elamur.ai/free/en/papers/mahdaouy-2022-cs-um6p-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.*2022 · 11 citations*
42. **[Perceived and Intended Sarcasm Detection with Graph Attention Networks](https://md.research.elamur.ai/free/en/papers/plepi-2021-perceived-intended-sarcasm-detection-graph/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Joan Plepi, Lucie Flek*2021 · 11 citations*
43. **[Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation](https://md.research.elamur.ai/free/en/papers/shaheen-2022-plumeria-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mosab Shaheen, Shubham Kumar Nigam*2022 · 10 citations*
44. [**Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity**Debanjan Ghosh, Elena Musi, Smaranda Muresan*2020 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2020-interpreting-verbal-irony-linguistic-strategies/)
45. [**How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 10 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-challenging-is-sarcasm-versus/)
46. **[Sarcasm Detection in a Disaster Context](https://md.research.elamur.ai/free/en/papers/sosea-2024-sarcasm-detection-disaster-context/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea*2024 · 8 citations*
47. **[PALI-NLP at SemEval-2022 Task 6: iSarcasmEval- Fine-tuning the Pre-trained Model for Detecting Intended Sarcasm](https://md.research.elamur.ai/free/en/papers/du-2022-pali-nlp-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Xiyang Du, Dou Hu, Jin Zhi, et al.*2022 · 7 citations*
48. [**Irony Detection, Reasoning and Understanding in Zero-shot Learning arXiv:2501.16884**Peiling Yi, Yuhan Xia, Yunfei Long*2025 · 5 citations*](https://md.research.elamur.ai/free/en/papers/yi-2025-irony-detection-reasoning-understanding-zero/)
49. **[Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/jana-2024-continuous-attentive-multimodal-prompt-tuning/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Soumyadeep Jana, Animesh Dey, Ranbir Singh Sanasam*2024 · 5 citations*
50. **[“When Words Fail, Emojis Prevail”: A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic Incongruity](https://md.research.elamur.ai/free/en/papers/kader-2023-when-words-fail-emojis-prevail/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.*2023 · 5 citations*
51. [**Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation arXiv:2203.04111**Shubham Kumar Nigam, Mosab Shaheen*2022 · 5 citations*](https://md.research.elamur.ai/free/en/papers/nigam-2022-plumeria-semeval-2022-task-6/)
52. [**Computational Sarcasm Analysis on Social Media: A Systematic Review arXiv:2209.06170**Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/kader-2022-computational-sarcasm-analysis-social-media/)
53. **[TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/angel-2022-tug-cic-semeval-2021-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jason Angel, Segun Taofeek Aroyehun, Alexander Gelbukh*2022 · 4 citations*
54. **[UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection](https://md.research.elamur.ai/free/en/papers/brefo-2022-uor-ncl-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Emmanuel Osei-Brefo, Huizhi Liang*2022 · 4 citations*
55. **[ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/swanberg-2018-alanis-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Kevin Swanberg, Madiha Mirza, Ted Pedersen, et al.*2018 · 4 citations*
56. **[AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning Techniques](https://md.research.elamur.ai/free/en/papers/lotfy-2022-alexu-al-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Aya Lotfy, Marwan Torki, Nagwa El-Makky*2022 · 3 citations*
57. **[Can Contextualizing User Embeddings Improve Sarcasm and Hate Speech Detection?](https://md.research.elamur.ai/free/en/papers/breitwieser-2022-can-contextualizing-user-embeddings-improve/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Kim Breitwieser*2022 · 2 citations*
58. **[JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams](https://md.research.elamur.ai/free/en/papers/kerner-2022-jct-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yaakov HaCohen-Kerner, Matan Fchima, Ilan Meyrowitsch*2022 · 1 citation*
59. **[Tackling Irony Detection using Ensemble Classifiers](https://md.research.elamur.ai/free/en/papers/turban-2022-tackling-irony-detection-ensemble-classifiers/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Christoph Turban, Udo Kruschwitz*2022 · 1 citation*
60. [**SarcEmp - Fine-tuning DialoGPT for Sarcasm and Empathy Proceedings of the 1st Workshop on Simulating Conversational Intelligence in Chat (SCI-CHAT 2024)**Mohammed Rizwan*2024*](https://md.research.elamur.ai/free/en/papers/rizwan-2024-sarcemp-fine-tuning-dialogpt-sarcasm/)
61. **[TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models](https://md.research.elamur.ai/free/en/papers/sivanaiah-2022-techssn-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R, et al.*2022*
62. [**Linguistic Features in Automatic Sarcasm Detection**Martina Ducret, Lauren Kruse, Carlos Martinez, et al.*2020*](https://md.research.elamur.ai/free/en/papers/ducret-2020-linguistic-features-automatic-sarcasm-detection/)
63. [**#SarcasmDetection is soooo general! Towards a Domain-Independent Approach for Detecting Sarcasm arXiv:1806.03369**Natalie Parde, Rodney D. Nielsen*2018*](https://md.research.elamur.ai/free/en/papers/parde-2018-sarcasmdetection-soooo-general-towards-domain/)

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