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D4 Seminar : Socio-conversational AI: Modelling the socio-emotional component of interactions using neural models

17 November 2023 @ 9:30 am - 11:00 am

Speaker: Chloé Clavel (Centre Inria de Paris, équipe-projet ALMAnaCH)

A single lack of social tact on the part of a conversational system (chatbot, voice assistant, social robot) can cause the user’s trust and engagement with the interaction to drop. This lack of social intelligence affects the willingness of a large audience to view conversational systems as acceptable. To understand the state of the user, the current affective/social computing research community has drawn on research in artificial intelligence and the social sciences. However, in recent years, the trend has shifted towards a monopoly of deep learning methods, which are quite powerful but opaque and greedy for annotated data and less suitable for integrating social science knowledge. I will present here the research we are doing  to develop Machine/Deep Learning models for modeling the social component of interactions. In particular, I will focus on research aimed at improving the explainability of the models as well as their transferability to new data and new socio-emotional phenomena.

Aina Garí Soler, Matthieu Labeau and Chloé Clavel (2022). One Word, Two Sides: Traces of Stance in Contextualized Word Representations. Proceedings of the 29th International Conference on Computational Linguistics (COLING), Gyeongju, Korea, October 12-17.
Raphalen, Y., Clavel, C. & Cassell, J. (2022). « You might think about slightly revising the title »: identifying hedges in peer-tutoring interactions. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), Long Papers.
Gaël Guibon, Matthieu Labeau, Hélène Flamein, Luce Lefeuvre, Chloé Clavel (2021). Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks. In EMNLP
Nicolas Rollet, Chloé Clavel. (2020) “Talk to you later” Doing social robotics with conversation analysis. Towards the development of an automatic system for the prediction of disengagement, Article in : Interaction Studies Vol. 21:2 pp. 269–293
Leo Hemamou;Arthur Guillon;Jean-Claude Martin;Chloe Clavel. (2021) Multimodal Hierarchical Attention Neural Network: Looking for Candidates Behaviour which Impact Recruiter’s Decision, IEEE Trans. of Affective Computing


17 November 2023
9:30 am - 11:00 am
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