27 citations · 146 across the 25 of their papers we have counts for
26 papers
Towards Learning Through Open-Domain Dialog
Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos
The development of artificial agents able to learn through dialog without domain restrictions has the potential to allow machines to learn how to perform tasks in a similar manner…
Automatic Recognition of the General-Purpose Communicative Functions defined by the ISO 24617-2 Standard for Dialog Act Annotation
Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos
ISO 24617-2, the standard for dialog act annotation, defines a hierarchically organized set of general-purpose communicative functions. The automatic recognition of these functions…
Hierarchical Multi-Label Dialog Act Recognition on Spanish Data
Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos
Dialog acts reveal the intention behind the uttered words. Thus, their automatic recognition is important for a dialog system trying to understand its conversational partner. The s…
Low-dimensional Embodied Semantics for Music and Language
Francisco Afonso Raposo, David Martins de Matos, Ricardo Ribeiro
Embodied cognition states that semantics is encoded in the brain as firing patterns of neural circuits, which are learned according to the statistical structure of human multimodal…
Learning Embodied Semantics via Music and Dance Semiotic Correlations
Francisco Afonso Raposo, David Martins de Matos, Ricardo Ribeiro
Music semantics is embodied, in the sense that meaning is biologically mediated by and grounded in the human body and brain. This embodied cognition perspective also explains why m…
Learning multimodal representations for sample-efficient recognition of human actions
Miguel Vasco, Francisco S. Melo, David Martins de Matos +2
Humans interact in rich and diverse ways with the environment. However, the representation of such behavior by artificial agents is often limited. In this work we present \textit{m…