--- title: "Who cites Sparse, Contextually Informed — 32 citing papers" description: "32 papers of the Elamur Research library cite «Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities…" canonical: "https://research.elamur.ai/free/en/papers/wallace-2015-sparse-contextually-informed-models-irony/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wallace-2015-sparse-contextually-informed-models-irony/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Sparse, Contextually Informed Models for Irony…](https://md.research.elamur.ai/free/en/papers/wallace-2015-sparse-contextually-informed-models-irony/) / cited by # Who cites «Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment» 32 papers of our library cite it (of the 141,840 whose bibliographies we read) · 22 with a page here, the most cited first · [← back to «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/) 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* **[Tweet Sarcasm Detection Using Deep Neural Network](https://md.research.elamur.ai/free/en/papers/zhang-2016-tweet-sarcasm-detection-deep-neural/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Meishan Zhang, Yue Zhang, Guohong Fu*2016 · 190 citations* [**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/) **[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 · 114 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* **[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* **[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* **[NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets](https://md.research.elamur.ai/free/en/papers/rangwani-2018-nlprl-iitbhu-semeval-2018-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh*2018 · 28 citations* **[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* **[Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation](https://md.research.elamur.ai/free/en/papers/oprea-2022-should-chatbot-be-sarcastic-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Silviu Vlad Oprea, Steven Wilson, Walid Magdy*2022 · 13 citations* **[ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English Tweets](https://md.research.elamur.ai/free/en/papers/farias-2018-valento-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Delia Irazú Hernández Farías, Viviana Patti, Paolo Rosso*2018 · 13 citations* **[R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasm](https://md.research.elamur.ai/free/en/papers/sharma-2022-r2d2-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mayukh Sharma, Ilanthenral Kandasamy, Vasantha W B*2022 · 2 citations* **[LDR at SemEval-2018 Task 3: A Low Dimensional Text Representation for Irony Detection](https://md.research.elamur.ai/free/en/papers/ghanem-2018-ldr-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Bilal Ghanem, Francisco Rangel, Paolo Rosso*2018 · 2 citations* **[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* [**Irony Detection in Hebrew Documents: A Novel Dataset and an Evaluation of Neural Classification Methods**Avi Shmidman, Elda Weizman, Avishay Gerczuk*2025*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-irony-detection-hebrew-documents-novel/) [**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/) 10 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/wallace-2015-sparse-contextually-informed-models-irony/) — Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment