collaborators

5 papers

cs.CL2026

Beyond Independent Labels: Schwartz-Geometry Decoding for Human Value Detection

Víctor Yeste, Paolo Rosso

Human value detection is commonly formulated as sentence-level multi-label classification over the 19 refined Schwartz values, typically predicted as independent labels. Schwartz t…

cs.CL2026

More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts

Víctor Yeste, Paolo Rosso

Detecting Schwartz values in political text is difficult because implicit cues often depend on surrounding arguments and fine-grained distinctions between neighboring values. We st…

cs.CL2026

Do Schwartz Higher-Order Values Help Sentence-Level Human Value Detection? A Study of Hierarchical Gating and Calibration

Víctor Yeste, Paolo Rosso

Human value detection from single sentences is a sparse, imbalanced multi-label task. We study whether Schwartz higher-order (HO) categories help this setting on ValueEval'24 / Val…

cs.CL2026

Human Values in a Single Sentence: Moral Presence, Hierarchies, and Transformer Ensembles on the Schwartz Continuum

Víctor Yeste, Paolo Rosso

We study sentence-level detection of the 19 human values in the refined Schwartz continuum in about 74k English sentences from news and political manifestos (ValueEval'24 corpus).…

cs.CL2026

A Baseline Multimodal Approach to Emotion Recognition in Conversations

Víctor Yeste, Rodrigo Rivas-Arévalo

We present a lightweight multimodal baseline for emotion recognition in conversations using the SemEval-2024 Task 3 dataset built from the sitcom Friends. The goal of this report i…