Amine Trabelsi
Amine Trabelsi has 2 papers in our library, in 2025–2026, most of them on Sentiment & emotion, Dialogue systems.
OpenAlex · ORCID · Wikidata · h-index 9 · 51 works · 418 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 59 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9686
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksGeneral Social Sciences · 1 workSocial Sciences · 1 work
🧭 Topics 2Research subjects and languages the work is about.Sentiment & emotion · 1 workDialogue systems · 1 work
Works by year
2020s
Papers
- Can Large Language Models Address Open-Target Stance Detection? (2025 · 12 citations)
The paper examines stance detection in the most realistic scenario, which the authors call Open-Target Stance Detection (OTSD). - Simple Agents, Biased Judges: Efficient Multi-Party Dialogue Generation & The Evaluation Gap (2026)
The paper examines whether LLM-as-a-Judge evaluators can stand in for human raters when assessing open-domain multi-party social conversation, a setting that has seen little study.
All works
- Automatic Dialogue Generation with Expressed Emotions ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yetChenyang Huang et al.2018 · 177 citations
- ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT ↗Proceedings of the 13th International Workshop on Semantic Evaluation · no summary yetChenyang Huang, Amine Trabelsi, Osmar Zaïane2019 · 89 citations
- Can Large Language Models Address Open-Target Stance Detection?Findings of the Association for Computational LinguisticsAbu Ubaida Akash, Ahmed Fahmy, Amine Trabelsi2025 · 12 citations
- Simple Agents, Biased Judges: Efficient Multi-Party Dialogue Generation & The Evaluation GapAnnual Meeting of the Association for Computational Linguistics (ACL)Kunal Samanta, Faisal Tareque Shohan, Amine Trabelsi, et al.2026
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2025
- Proceedings of the 13th International Workshop on Semantic Evaluation
- Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
Cited by
Updated
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