---
title: "Who cites Florian Kunneman — 52 papers of our library"
description: "52 papers of the Elamur Research library cite the works of Florian Kunneman, found in their bibliographies; the most cited first."
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---
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# Who cites Florian Kunneman

52 citations of their works from 52 papers of our library (of the 149,439 whose bibliographies we read) · 41 with a page here, the most cited first · [← Florian Kunneman](https://md.research.elamur.ai/free/en/authors/florian-kunneman/)

1. [**Sarcasm as Contrast between a Positive Sentiment and Negative Situation**Ellen Riloff, Ashequl Qadir, Prafulla Surve, et al.*2013 · 754 citations*](https://md.research.elamur.ai/free/en/papers/riloff-2013-sarcasm-as-contrast-between-positive/)
2. **[SemEval-2014 Task 9: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2014-semeval-2014-task-9-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Alan Ritter, Preslav Nakov, et al.*2014 · 741 citations*
3. **[SemEval-2015 Task 10: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2015-semeval-2015-task-10-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.*2015 · 492 citations*
4. **[Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.](https://md.research.elamur.ai/free/en/papers/maynard-2014-who-cares-about-sarcastic-tweets/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Diana Maynard, Mark Greenwood*2014 · 437 citations*
5. **[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*
6. **[Fracking Sarcasm using Neural Network](https://md.research.elamur.ai/free/en/papers/ghosh-2016-fracking-sarcasm-neural-network/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Aniruddha Ghosh, Tony Veale*2016 · 350 citations*
7. **[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*
8. **[Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)](https://md.research.elamur.ai/free/en/papers/castro-2019-towards-multimodal-sarcasm-detection-obviously/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.*2019 · 320 citations*
9. **[Towards Multimodal Sarcasm Detection (An \textitObviously Perfect Paper)](https://md.research.elamur.ai/free/en/papers/castro-2019-multimodal-sarcasm-detection-textitobviously-perfect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.*2019 · 228 citations*
10. **[Modelling Sarcasm in Twitter, a Novel Approach](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-sarcasm-twitter-novel-approach/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Francesco Barbieri, Horacio Saggion, Francesco Ronzano*2014 · 218 citations*
11. [**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/)
12. **[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*
13. **[Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal](https://md.research.elamur.ai/free/en/papers/ghosh-2017-magnets-sarcasm-making-sarcasm-detection/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Aniruddha Ghosh, Tony Veale*2017 · 175 citations*
14. **[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*
15. **[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*
16. **[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*
17. **[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*
18. **[Modelling Irony in Twitter](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-irony-twitter/) [Student Research Workshop at the Conference of the European Chapter of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/student-research-workshop-at-the-conference-of-the-european-chapter-of-the/)**Francesco Barbieri, Horacio Saggion*2014 · 104 citations*
19. **[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*
20. **[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*
21. **[Towards a Contextual Pragmatic Model to Detect Irony in Tweets](https://md.research.elamur.ai/free/en/papers/karoui-2015-contextual-pragmatic-model-detect-irony/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jihen Karoui, Farah Benamara Zitoune, Véronique Moriceau, et al.*2015 · 81 citations*
22. **[NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs](https://md.research.elamur.ai/free/en/papers/baziotis-2018-ntua-slp-semeval-2018-task-s18-1100/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Christos Baziotis, Athanasiou Nikolaos, Pinelopi Papalampidi, et al.*2018 · 74 citations*
23. [**Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog**Shereen Oraby, Vrindavan Harrison, Amita Misra, et al.*2017 · 70 citations*](https://md.research.elamur.ai/free/en/papers/oraby-2017-are-you-serious-rhetorical-questions/)
24. **[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*
25. [**Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data Proceedings of the First International Workshop on Natural Language Processing Beyond Text**Xinyu Wang, Xiaowen Sun, Tan Yang, et al.*2020 · 62 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-building-bridge-method-image-text/)
26. [**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/)
27. **[Modelling Irony in Twitter: Feature Analysis and Evaluation](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-irony-twitter-feature-analysis/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Francesco Barbieri, Horacio Saggion*2014 · 42 citations*
28. [**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/)
29. **[Reactive Supervision: A New Method for Collecting Sarcasm Data](https://md.research.elamur.ai/free/en/papers/shmueli-2020-reactive-supervision-new-method-collecting/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Boaz Shmueli, Lun-Wei Ku, Soumya Ray*2020 · 36 citations*
30. **[Chinese Irony Corpus Construction and Ironic Structure Analysis](https://md.research.elamur.ai/free/en/papers/tang-2014-chinese-irony-corpus-construction-ironic/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yi-jie Tang, Hsin-Hsi Chen*2014 · 33 citations*
31. **[“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text](https://md.research.elamur.ai/free/en/papers/dubey-2019-when-numbers-matter-detecting-sarcasm/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Abhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.*2019 · 29 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. **[LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets](https://md.research.elamur.ai/free/en/papers/xu-2015-llt-polyu-identifying-sentiment-intensity/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Hongzhi Xu, Enrico Santus, Anna Laszlo, et al.*2015 · 19 citations*
35. **[Wait Signals Predict Sarcasm in Online Debates](https://md.research.elamur.ai/free/en/papers/arcey-2019-wait-signals-predict-sarcasm-online/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**J. Trevor D'Arcey, Shereen Oraby, Jean E. Fox Tree*2019 · 14 citations*
36. [**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/)
37. **[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*
38. **[‘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*
39. [**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/)
40. **[UWB at SemEval-2018 Task 3: Irony detection in English tweets](https://md.research.elamur.ai/free/en/papers/hercig-2018-uwb-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Tomáš Hercig*2018 · 1 citation*
41. [**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/)

11 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/florian-kunneman/) — Florian Kunneman