6 citations · 10 across the 5 of their papers we have counts for
9 papers
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…
Deep Dialog Act Recognition using Multiple Token, Segment, and Context Information Representations
Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos
Dialog act (DA) recognition is a task that has been widely explored over the years. Recently, most approaches to the task explored different DNN architectures to combine the repres…
A Study on Dialog Act Recognition using Character-Level Tokenization
Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos
Dialog act recognition is an important step for dialog systems since it reveals the intention behind the uttered words. Most approaches on the task use word-level tokenization. In…
Towards Deep Modeling of Music Semantics using EEG Regularizers
Francisco Raposo, David Martins de Matos, Ricardo Ribeiro +2
Modeling of music audio semantics has been previously tackled through learning of mappings from audio data to high-level tags or latent unsupervised spaces. The resulting semantic…