🧑‍🔬 Who cites Stephanie M. Lukin

118 citations of their works from 104 papers of our library (of the 140,884 whose bibliographies we read) · 21 with a page here, the most cited first · ← Stephanie M. Lukin

1. Sarcasm as Contrast between a Positive Sentiment and Negative SituationEllen Riloff, Ashequl Qadir, Prafulla Surve, et al.2013 · 752 citations
2. Fracking Sarcasm using Neural NetworkAniruddha Ghosh, Tony Veale2016 · 350 citations
3. A Large Self-Annotated Corpus for SarcasmMikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli2018 · 258 citations
4. Modelling Sarcasm in Twitter, a Novel ApproachFrancesco Barbieri, Horacio Saggion, Francesco Ronzano2014 · 217 citations
5. Automatic Sarcasm Detection: A SurveyAditya Joshi, Pushpak Bhattacharyya, Mark James Carman2016 · 214 citations
6. Tweet Sarcasm Detection Using Deep Neural NetworkMeishan Zhang, Yue Zhang, Guohong Fu2016 · 189 citations
7. Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very PersonalAniruddha Ghosh, Tony Veale2017 · 174 citations
8. Creating and Characterizing a Diverse Corpus of Sarcasm in DialogueShereen Oraby, Vrindavan Harrison, Lena Reed, et al.2016 · 163 citations
9. Investigating Pretrained Language Models for Graph-to-Text GenerationLeonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.2021 · 149 citations
10. Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter ConversationsGavin Abercrombie, Dirk Hovy2016 · 85 citations
11. Are you serious?: Rhetorical Questions and Sarcasm in Social Media DialogShereen Oraby, Vrindavan Harrison, Amita Misra, et al.2017 · 70 citations
12. Weisfeiler-Leman in the Bamboo: Novel AMR Graph Metrics and a Benchmark for AMR Graph SimilarityJuri Opitz, Angel Daza, Anette Frank2021 · 47 citations
13. Modelling Irony in Twitter: Feature Analysis and EvaluationFrancesco Barbieri, Horacio Saggion2014 · 42 citations
14. Reactive Supervision: A New Method for Collecting Sarcasm DataBoaz Shmueli, Lun-Wei Ku, Soumya Ray2020 · 36 citations
15. A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment ConflictYiyi Liu, Yequan Wang, Aixin Sun, et al.2022 · 34 citations
16. Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?Ben Yao, Yazhou Zhang, Qiuchi Li, et al.2024 · 33 citations
17. Chinese Irony Corpus Construction and Ironic Structure AnalysisYi-jie Tang, Hsin-Hsi Chen2014 · 33 citations
18. Getting Reliable Annotations for Sarcasm in Online DialoguesReid Swanson, Stephanie Lukin, Luke Eisenberg, et al.2014 · 23 citations
19. Assessing the Cross-linguistic Utility of Abstract Meaning RepresentationShira Wein, Nathan Schneider2024 · 17 citations
20. How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English LiteratureAditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.2016 · 10 citations
21. Survey of Abstract Meaning Representation: Then, Now, FutureBehrooz Mansouri2025 · 8 citations

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