--- title: "Who cites Gavin Abercrombie — 91 papers of our library" description: "91 papers of the Elamur Research library cite the works of Gavin Abercrombie, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/gavin-abercrombie/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/gavin-abercrombie/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Gavin Abercrombie](https://md.research.elamur.ai/free/en/authors/gavin-abercrombie/) / cited by # 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](https://md.research.elamur.ai/free/en/authors/gavin-abercrombie/) 1. **[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 · 314 citations* 2. **[The Importance of Modeling Social Factors of Language: Theory and Practice](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dirk Hovy, Diyi Yang*2021 · 234 citations* 3. **[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* 4. [**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/) 5. [**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/) 6. **[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* 7. **[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* 8. [**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/) 9. **[Detecting Sarcasm in Conversation Context Using Transformer-Based Models](https://md.research.elamur.ai/free/en/papers/avvaru-2020-detecting-sarcasm-conversation-context-transformer/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Adithya Avvaru, Sanath Vobilisetty, Radhika Mamidi*2020 · 46 citations* 10. **[A deep-learning framework to detect sarcasm targets](https://md.research.elamur.ai/free/en/papers/patro-2019-deep-learning-framework-detect-sarcasm/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jasabanta Patro, Srijan Bansal, Animesh Mukherjee*2019 · 29 citations* 11. **[MultiPICo: Multilingual Perspectivist Irony Corpus](https://md.research.elamur.ai/free/en/papers/casola-2024-multipico-multilingual-perspectivist-irony-corpus/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Silvia Casola, Simona Frenda, Soda Marem Lo, et al.*2024 · 28 citations* 12. **[Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/guo-2021-latent-optimized-adversarial-neural-transfer/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xu Guo, Boyang Li, Han Yu, et al.*2021 · 27 citations* 13. **[Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation](https://md.research.elamur.ai/free/en/papers/jing-2023-multi-source-semantic-graph-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liqiang Jing, Xuemeng Song, Kun Ouyang, et al.*2023 · 26 citations* 14. **[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* 15. **[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* 16. **[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* 17. [**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/) 18. **[TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models](https://md.research.elamur.ai/free/en/papers/sivanaiah-2022-techssn-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R, et al.*2022* 73 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/gavin-abercrombie/) — Gavin Abercrombie