🧑‍🔬 Who cites Lun-Wei Ku

69 citations of their works from 69 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← Lun-Wei Ku

1. Ethics Sheet for Automatic Emotion Recognition and Sentiment AnalysisComputational LinguisticsSaif M. Mohammad2022 · 164 citations
2. SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and ArabicIbrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.2022 · 146 citations
3. The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Hannah Rose Kirk, Alexander Whitefield, Paul Rottger, et al.2024 · 133 citations
4. POTATO: The Portable Text Annotation ToolConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, et al.2022 · 90 citations
5. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationTransactions of the Association for Computational Linguistics (TACL)Patrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
6. The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm GenerationFindings of the Association for Computational LinguisticsTyler Loakman, Aaron Maladry, Chenghua Lin2023 · 19 citations
7. Perceived and Intended Sarcasm Detection with Graph Attention NetworksFindings of the Association for Computational LinguisticsJoan Plepi, Lucie Flek2021 · 18 citations
8. A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X PerspectivesQingcheng Zeng, An-Ran Li2022 · 14 citations
9. 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
10. Perceived and Intended Sarcasm Detection with Graph Attention NetworksWorkshop on Noisy User-generated TextJoan Plepi, Lucie Flek2021 · 11 citations
11. “When Words Fail, Emojis Prevail”: A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic IncongruityAnnual Meeting of the Association for Computational Linguistics (ACL)Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.2023 · 5 citations
12. Training LLMs to Recognize Hedges in Dialogues about Roadrunner CartoonsAmie Paige, Adil Soubki, John Murzaku, et al.2024 · 4 citations
13. Computational Sarcasm Analysis on Social Media: A Systematic ReviewarXiv:2209.06170Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.2022 · 4 citations
14. TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm DetectionInternational Workshop on Semantic Evaluation (SemEval)Jason Angel, Segun Taofeek Aroyehun, Alexander Gelbukh2022 · 4 citations
15. Using Sarcasm to Improve Cyberbullying DetectionWorkshop on Trolling, Aggression and CyberbullyingXiaoyu Guo, Susan Gauch2024 · 3 citations
16. Can Contextualizing User Embeddings Improve Sarcasm and Hate Speech Detection?Workshop on Natural Language Processing and Computational Social ScienceKim Breitwieser2022 · 2 citations
17. Can LLMs Understand the Impact of Trauma? Costs and Benefits of LLMs Coding the Interviews of Firearm Violence SurvivorsFindings of the Association for Computational LinguisticsJessica H Zhu, Shayla Stringfield, Vahe Zaprosyan, et al.2026 · 1 citation
18. Multilingual Communication in the Asylum Context: Evaluating LLM-Based Machine Translation with Fuzzy Match Augmentation and Adaptive NMT across Resource Conditions under Low-Data ConstraintsAnnual Conference of the European Association for Machine Translation (EAMT)Thomas Moerman, Arda Tezcan, Lieve Macken2026 · 1 citation
19. Uncovering Intervention Opportunities for Suicide Prevention with Language Model AssistantsAnnual Meeting of the Association for Computational Linguistics (ACL)Jaspreet Ranjit, Hyundong Justin Cho, Claire J. Smerdon, et al.2026 · 1 citation
20. Training LLMs to Recognize Hedges in Spontaneous NarrativesSIGDIAL 2024Amie J. Paige, Adil Soubki, John Murzaku, et al.2024

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