This work aims at detecting low quality labels in crowdsourcing annotation tasks. We validate our proposal carrying out experiments in a difficult and subjective task: emotion recognition. We have developed several measures ...

This work presents a novel methodology to train open domain neural dialogue systems within the framework of Generative Adversarial Networks with gradient-based optimization methods. We avoid the non-differentiability related ...

Lan honetan sare neuronalen bidez euskaraz hitz egiten ikasten duen elkarrizketa sistema automatikoa aurkezten dugu. Horretarako, Turingen testaren ideia era konputazionalean inplementatzen duten sare neuronal sortzaile ...

Decoding emotional states from multimodal signals is an increasingly active domain, within the framework of affective computing, which aims to a better understanding of Human-Human Communication as well as to improve Human- ...