NGO Ha Anh

My research focuses on multimodal models of repair in social human-agent interaction. I am interested in conversaional repair strategies in human-human interaction, and how this can be modeled and implemented in human-agent systems.

My Master’s thesis focused on personalized model for emotion recognition with explainability using differential data map.

My Bachelor’s thesis focused on optimization algorithms for the land lot division and allocation problem using Genetic Algorithms. I developed a software tool that can automatically divide and allocate land lots that satisfied architectural rules and government rules.

Anh Ngo, Nicolas Rollet, Catherine Pelachaud, and Chloé Clavel. 2026. Do Visual Features Improve Other-Initiated Repair Detection? A Dyadic Multimodal Approach. In Proceedings of the 28th International Conference on Multimodal Interaction (ICMI ‘26). Association for Computing Machinery, New York, NY, USA, 873–882.

Anh Ngo, Nicolas Rollet, Catherine Pelachaud, and Chloé Clavel. 2026. Human vs LLM in Conversational Repair Annotation: A New Resource and Comparative Study. In Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026), pages 6880–6892. European Language Resources Association (ELRA).

Anh Ngo, Nicolas Rollet, Catherine Pelachaud, and Chloé Clavel. 2025. “Mm, Wat?” Detecting Other-initiated Repair Requests in Dialogue. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 22926–22939, Suzhou, China. Association for Computational Linguistics.

Anh Ngo and Jan Kocoń. 2025. Integrating personalized and contextual information in fine-grained emotion recognition in text: A multi-source fusion approach with explainability. Information Fusion, 118, 102966.

Anh Ngo, Dirk Heylen, Nicolas Rollet, Catherine Pelachaud, and Chloé Clavel. 2024. Exploration of Human Repair Initiation in Task-oriented Dialogue: A Linguistic Feature-based Approach. In Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 603–609, Kyoto, Japan. Association for Computational Linguistics.

Bartłomiej Koptyra, Anh Ngo, Łukasz Radliński, and Jan Kocoń. 2023. CLARIN-Emo: Training Emotion Recognition Models Using Human Annotation and ChatGPT. In Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023, Proceedings, Part I. Springer-Verlag, Berlin, Heidelberg, 365–379.

Anh Ngo, Agri Candri, Teddy Ferdinan, Jan Kocon, and Wojciech Korczynski. 2022. StudEmo: A Non-aggregated Review Dataset for Personalized Emotion Recognition. In Proceedings of the 1st Workshop on Perspectivist Approaches to NLP @LREC2022, pages 46–55, Marseille, France.