--- title: "Who cites Humans Require Context to Infer — 61 citing papers" description: "61 papers of the Elamur Research library cite «Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)», found in their…" canonical: "https://research.elamur.ai/free/en/papers/wallace-2014-humans-require-context-infer-ironic/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wallace-2014-humans-require-context-infer-ironic/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Humans Require Context to Infer Ironic Intent…](https://md.research.elamur.ai/free/en/papers/wallace-2014-humans-require-context-infer-ironic/) / cited by # Who cites «Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)» 61 papers of our library cite it (of the 141,840 whose bibliographies we read) · 37 with a page here, the most cited first · [← back to «Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)»](https://md.research.elamur.ai/free/en/papers/wallace-2014-humans-require-context-infer-ironic/) 1. [**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/) **[Are Word Embedding-based Features Useful for Sarcasm Detection?](https://md.research.elamur.ai/free/en/papers/joshi-2016-are-word-embedding-based-features/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al.*2016 · 212 citations* [**Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue**Shereen Oraby, Vrindavan Harrison, Lena Reed, et al.*2016 · 163 citations*](https://md.research.elamur.ai/free/en/papers/oraby-2016-creating-characterizing-diverse-corpus-sarcasm/) **[Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment](https://md.research.elamur.ai/free/en/papers/wallace-2015-sparse-contextually-informed-models-irony/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Byron C. Wallace, Do Kook Choe, Eugene Charniak*2015 · 123 citations* **[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* **[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* **[CASCADE: Contextual Sarcasm Detection in Online Discussion Forums](https://md.research.elamur.ai/free/en/papers/hazarika-2018-cascade-contextual-sarcasm-detection-online/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, et al.*2018 · 89 citations* **[Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 87 citations* **[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* **[Sarcasm Detection Using an Ensemble Approach](https://md.research.elamur.ai/free/en/papers/lemmens-2020-sarcasm-detection-ensemble-approach/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Jens Lemmens, Ben Burtenshaw, Ehsan Lotfi, et al.*2020 · 56 citations* **[Representing Social Media Users for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/kolchinski-2018-representing-social-media-users-sarcasm/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Y. Alex Kolchinski, Christopher Potts*2018 · 54 citations* **[Detecting Sarcasm in Conversation Context Using Transformer-Based Models](https://md.research.elamur.ai/free/en/papers/avvaru-2020-detecting-sarcasm-conversation-context-transformer/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Adithya Avvaru, Sanath Vobilisetty, Radhika Mamidi*2020 · 46 citations* **[WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony](https://md.research.elamur.ai/free/en/papers/rohanian-2018-wlv-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Omid Rohanian, Shiva Taslimipoor, Richard Evans, et al.*2018 · 39 citations* **[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* [**Breaking NLP: Using Morphosyntax, Semantics, Pragmatics and World Knowledge to Fool Sentiment Analysis Systems Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems**Taylor Mahler, Willy Cheung, Micha Elsner, et al.*2017 · 34 citations*](https://md.research.elamur.ai/free/en/papers/mahler-2017-breaking-nlp-morphosyntax-semantics-pragmatics/) **[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* **[A deep-learning framework to detect sarcasm targets](https://md.research.elamur.ai/free/en/papers/patro-2019-deep-learning-framework-detect-sarcasm/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jasabanta Patro, Srijan Bansal, Animesh Mukherjee*2019 · 29 citations* **[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* [**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/) **[The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation](https://md.research.elamur.ai/free/en/papers/loakman-2023-iron-ic-melting-pot-reviewing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tyler Loakman, Aaron Maladry, Chenghua Lin*2023 · 18 citations* **[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* **[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* [**A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives**Qingcheng Zeng, An-Ran Li*2022 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2022-survey-automatic-irony-processing-linguistic/) **[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* **[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* [**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/) [**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/) **[NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning](https://md.research.elamur.ai/free/en/papers/rahgouy-2022-null-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, et al.*2022 · 6 citations* **[‘Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/joshi-2016-who-would-have-thought-that/) [Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics](https://md.research.elamur.ai/free/en/venues/workshop-on-extra-propositional-aspects-of-meaning-in-computational-linguistics/)**Aditya Joshi, Prayas Jain, Pushpak Bhattacharyya, et al.*2016 · 5 citations* [**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/) **[I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques](https://md.research.elamur.ai/free/en/papers/monterde-2022-i2c-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Adrián Moreno Monterde, Laura Vázquez Ramos, Jacinto Mata, et al.*2022 · 3 citations* [**Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language Models arXiv:2603.23251**Nasser A Alsadhan*2026*](https://md.research.elamur.ai/free/en/papers/alsadhan-2026-ai-catching-up-human-expression/) 24 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/wallace-2014-humans-require-context-infer-ironic/) — Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)