🧑‍🔬 Who cites Gavin Abercrombie

91 citations of their works from 91 papers of our library (of the 141,840 whose bibliographies we read) · 18 with a page here, the most cited first · ← Gavin Abercrombie

1. Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)Annual Meeting of the Association for Computational Linguistics (ACL)Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.2019 · 314 citations
2. The Importance of Modeling Social Factors of Language: Theory and PracticeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dirk Hovy, Diyi Yang2021 · 234 citations
3. Towards Multimodal Sarcasm Detection (An \textitObviously Perfect Paper)Annual Meeting of the Association for Computational Linguistics (ACL)Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.2019 · 228 citations
4. Automatic Sarcasm Detection: A SurveyarXiv:1602.03426Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman2016 · 216 citations
5. SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and ArabicIbrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.2022 · 146 citations
6. From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm DatasetWorkshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLINGIbrahim Abu Farha, Walid Magdy2020 · 132 citations
7. Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in ArabicArabic Natural Language Processing Workshop (WANLP)Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy2021 · 112 citations
8. iSarcasm: A Dataset of Intended SarcasmSilviu Oprea, Walid Magdy2020 · 58 citations
9. Detecting Sarcasm in Conversation Context Using Transformer-Based ModelsWorkshop on Figurative Language ProcessingAdithya Avvaru, Sanath Vobilisetty, Radhika Mamidi2020 · 46 citations
10. A deep-learning framework to detect sarcasm targetsConference on Empirical Methods in Natural Language Processing (EMNLP)Jasabanta Patro, Srijan Bansal, Animesh Mukherjee2019 · 29 citations
11. MultiPICo: Multilingual Perspectivist Irony CorpusAnnual Meeting of the Association for Computational Linguistics (ACL)Silvia Casola, Simona Frenda, Soda Marem Lo, et al.2024 · 28 citations
12. Latent-Optimized Adversarial Neural Transfer for Sarcasm DetectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xu Guo, Boyang Li, Han Yu, et al.2021 · 27 citations
13. Multi-source Semantic Graph-based Multimodal Sarcasm Explanation GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Liqiang Jing, Xuemeng Song, Kun Ouyang, et al.2023 · 26 citations
14. Wait Signals Predict Sarcasm in Online DebatesDialogue & DiscourseJ. Trevor D'Arcey, Shereen Oraby, Jean E. Fox Tree2019 · 14 citations
15. Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm DetectionFindings of the Association for Computational LinguisticsIbrahim Abu Farha, Steven Wilson, Silviu Oprea, et al.2022 · 13 citations
16. AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic TweetsArabic Natural Language Processing Workshop (WANLP)Anshul Wadhawan2021 · 11 citations
17. Computational Sarcasm Analysis on Social Media: A Systematic ReviewarXiv:2209.06170Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.2022 · 4 citations
18. TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer ModelsInternational Workshop on Semantic Evaluation (SemEval)Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R, et al.2022

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

This page in Markdown → https://md.research.elamur.ai/free/en/authors/gavin-abercrombie/cited-by/