🔗 Who cites «SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter»

63 papers of our library cite it (of the 141,840 whose bibliographies we read) · 23 with a page here, the most cited first · ← back to «SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter»

1. SemEval-2016 Task 5: Aspect Based Sentiment AnalysisMaria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.2016 · 1,659 citations
2. SemEval-2017 Task 4: Sentiment Analysis in TwitterSara Rosenthal, Noura Farra, Preslav Nakov2017 · 1,161 citations
3. SemEval-2018 Task 3: Irony Detection in English TweetsCynthia Van Hee, Els Lefever, Véronique Hoste2018 · 467 citations
4. A Transformer-based approach to Irony and Sarcasm detectionRolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis2019 · 312 citations
5. Automatic Sarcasm Detection: A SurveyAditya Joshi, Pushpak Bhattacharyya, Mark James Carman2016 · 216 citations
6. Towards a Contextual Pragmatic Model to Detect Irony in TweetsJihen Karoui, Farah Benamara Zitoune, Véronique Moriceau, et al.2015 · 81 citations
7. IMPLI: Investigating NLI Models' Performance on Figurative LanguageKevin Stowe, Prasetya Utama, Iryna Gurevych2022 · 68 citations
8. Annotating Sentiment and Irony in the Online Italian Political Debate on #labuonascuolaMarco Stranisci, Cristina Bosco, Delia Irazú Hernández Farías, et al.2016 · 45 citations
9. EPIC: Multi-Perspective Annotation of a Corpus of IronySimona Frenda, Alessandro Pedrani, Valerio Basile, et al.2023 · 41 citations
10. ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and SarcasmDelia Irazú Hernández Farías, Emilio Sulis, Viviana Patti, et al.2015 · 28 citations
11. Multilingual Irony Detection with Dependency Syntax and Neural ModelsAlessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti, et al.2020 · 21 citations
12. A Survey on Automated Sarcasm Detection on TwitterBleau Moores, Vijay Mago2022 · 19 citations
13. Application and Analysis of a Multi-layered Scheme for Irony on the Italian Twitter Corpus TWITTIRÒAlessandra Teresa Cignarella, Cristina Bosco, Viviana Patti, et al.2018 · 19 citations
14. LLT-PolyU: Identifying Sentiment Intensity in Ironic TweetsHongzhi Xu, Enrico Santus, Anna Laszlo, et al.2015 · 19 citations
15. Ciron: a New Benchmark Dataset for Chinese Irony DetectionRong Xiang, Xuefeng Gao, Yunfei Long, et al.2020 · 17 citations
16. #NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English TweetsEndang Wahyu Pamungkas, Viviana Patti2018 · 14 citations
17. What A Sunny Day ☔: Toward Emoji-Sensitive Irony DetectionShirley Anugrah Hayati, Aditi Chaudhary, Naoki Otani, et al.2019 · 10 citations
18. A Neural Approach to Irony GenerationMengdi Zhu, Zhiwei Yu, Xiaojun Wan2019 · 9 citations
19. Sarcasm Detection : Building a Contextual HierarchyTaradheesh Bali, Navjyoti Singh2016 · 4 citations
20. INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in TwitterDelia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, et al.2018 · 3 citations
21. Sentiment Analyzer with Rich Features for Ironic and Sarcastic TweetsPiyoros Tungthamthiti, Enrico Santus, Hongzhi Xu, et al.2015 · 3 citations
22. LDR at SemEval-2018 Task 3: A Low Dimensional Text Representation for Irony DetectionBilal Ghanem, Francisco Rangel, Paolo Rosso2018 · 2 citations
23. SinFoS: A Parallel Dataset for Translating Sinhala Figures of SpeechJohan Nevin Sofalas, Dilushri Pavithra, Nevidu Jayatilleke, et al.2026 · 1 citation

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