---
title: "Who cites Francesco Ronzano — 106 papers of our library"
description: "106 papers of the Elamur Research library cite the works of Francesco Ronzano, found in their bibliographies; the most cited first."
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---
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# Who cites Francesco Ronzano

106 citations of their works from 106 papers of our library (of the 141,840 whose bibliographies we read) · 29 with a page here, the most cited first · [← Francesco Ronzano](https://md.research.elamur.ai/free/en/authors/francesco-ronzano/)

1. [**TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification arXiv:2010.12421**Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves, et al.*2020 · 952 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2020-tweeteval-unified-benchmark-comparative-evaluation/)
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. **[TimeLMs: Diachronic Language Models from Twitter](https://md.research.elamur.ai/free/en/papers/loureiro-2022-timelms-diachronic-language-models-twitter/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.*2022 · 331 citations*
5. **[Detecting Sarcasm in Multimodal Social Platforms](https://md.research.elamur.ai/free/en/papers/schifanella-2016-detecting-sarcasm-multimodal-social-platforms/) [ACM International Conference on Multimedia (ACM MM)](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-multimedia-acm-mm/)**Rossano Schifanella, Paloma de Juan, Joel Tetreault, et al.*2016 · 290 citations*
6. **[XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond](https://md.research.elamur.ai/free/en/papers/barbieri-2022-xlm-t-multilingual-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados*2022 · 271 citations*
7. **[Reasoning with Sarcasm by Reading In-Between](https://md.research.elamur.ai/free/en/papers/tay-2018-reasoning-sarcasm-reading-between/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi Tay, Anh Tuan Luu, Siu Cheung Hui, et al.*2018 · 248 citations*
8. [**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/)
9. **[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*
10. **[From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset](https://md.research.elamur.ai/free/en/papers/farha-2020-arabic-sentiment-analysis-sarcasm-detection/) [Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLING](https://md.research.elamur.ai/free/en/venues/osact/)**Ibrahim Abu Farha, Walid Magdy*2020 · 132 citations*
11. **[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*
12. **[Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/farha-2021-overview-wanlp-2021-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy*2021 · 112 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. **[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*
15. [**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/)
16. [**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/)
17. **[A Modular Architecture for Unsupervised Sarcasm Generation](https://md.research.elamur.ai/free/en/papers/mishra-2019-modular-architecture-unsupervised-sarcasm-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan*2019 · 52 citations*
18. **[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*
19. **[Generalizable Sarcasm Detection is Just Around the Corner, of Course!](https://md.research.elamur.ai/free/en/papers/jang-2024-generalizable-sarcasm-detection-is-just/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hyewon Jang, Diego Frassinelli*2024 · 22 citations*
20. **[#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*
21. **[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*
22. **[AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/wadhawan-2021-arabert-farasa-segmentation-based-approach/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Anshul Wadhawan*2021 · 11 citations*
23. **[Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection](https://md.research.elamur.ai/free/en/papers/nikhil-2018-binarizer-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Nishant Nikhil, Muktabh Mayank Srivastava*2018 · 7 citations*
24. **[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*
25. [**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/)
26. **[Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset](https://md.research.elamur.ai/free/en/papers/painter-2022-utilizing-weak-supervision-create-s3d/) [Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Jordan Painter, Helen Treharne, Diptesh Kanojia*2022 · 4 citations*
27. **[Sarcasm Detection : Building a Contextual Hierarchy](https://md.research.elamur.ai/free/en/papers/bali-2016-sarcasm-detection-building-contextual-hierarchy/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Taradheesh Bali, Navjyoti Singh*2016 · 4 citations*
28. **[INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter](https://md.research.elamur.ai/free/en/papers/farias-2018-inaoe-upv-semeval-2018-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Delia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, et al.*2018 · 3 citations*
29. **[Lancaster at SemEval-2018 Task 3: Investigating Ironic Features in English Tweets](https://md.research.elamur.ai/free/en/papers/dearden-2018-lancaster-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Edward Dearden, Alistair Baron*2018 · 1 citation*

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

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