3 papers
cs.CL2026
A Comparative Study on Affective Cues in Text Embeddings Across Psychological Emotion Theories
Fabio Ciani, Harald Schweiger, Emilia Parada-Cabaleiro +1
Text encoders are known for their utility in natural language processing, as they are able to efficiently compress inputs into dense vectors while preserving semantics. These model…
cs.AI2026
The 2026 ACII Dyadic Conversations (DaiKon) Workshop & Challenge
Panagiotis Tzirakis, Alice Baird, Jeffrey Brooks +6
The 2026 ACII Dyadic Conversations (ACII-DaiKon) Workshop & Challenge introduces a benchmark for modeling interpersonal affect and social dynamics in dyadic conversations. Although…
cs.IR2025
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro +2
In session-based recommender systems, predictions are based on the user's preceding behavior in the session. State-of-the-art sequential recommendation algorithms either use graph…