5 papers · 1 filter
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…
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…