27 citations · 140 across the 21 of their papers we have counts for
23 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…
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…
Assessing User Expertise in Spoken Dialog System Interactions
Eugénio Ribeiro, Fernando Batista, Isabel Trancoso +3
Identifying the level of expertise of its users is important for a system since it can lead to a better interaction through adaptation techniques. Furthermore, this information can…
Mapping the Dialog Act Annotations of the LEGO Corpus into the Communicative Functions of ISO 24617-2
Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos
In this paper we present strategies for mapping the dialog act annotations of the LEGO corpus into the communicative functions of the ISO 24617-2 standard. Using these strategies,…
An Information-theoretic Approach to Machine-oriented Music Summarization
Francisco Raposo, David Martins de Matos, Ricardo Ribeiro
Music summarization allows for higher efficiency in processing, storage, and sharing of datasets. Machine-oriented approaches, being agnostic to human consumption, optimize these a…
Chatbots' Greetings to Human-Computer Communication
Maria João Pereira, Luísa Coheur, Pedro Fialho +1
Both dialogue systems and chatbots aim at putting into action communication between humans and computers. However, instead of focusing on sophisticated techniques to perform natura…
Fast and Extensible Online Multivariate Kernel Density Estimation
Jaime Ferreira, David Martins de Matos, Ricardo Ribeiro
We present xokde++, a state-of-the-art online kernel density estimation approach that maintains Gaussian mixture models input data streams. The approach follows state-of-the-art wo…
Generation of Multimedia Artifacts: An Extractive Summarization-based Approach
Paulo Figueiredo, Marta Aparício, David Martins de Matos +1
We explore methods for content selection and address the issue of coherence in the context of the generation of multimedia artifacts. We use audio and video to present two case stu…
Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach
Luís Marujo, Ricardo Ribeiro, David Martins de Matos +3
The increasing amount of online content motivated the development of multi-document summarization methods. In this work, we explore straightforward approaches to extend single-docu…
Summarization of Films and Documentaries Based on Subtitles and Scripts
Marta Aparício, Paulo Figueiredo, Francisco Raposo +3
We assess the performance of generic text summarization algorithms applied to films and documentaries, using the well-known behavior of summarization of news articles as reference.…
The Influence of Context on Dialogue Act Recognition
Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos
This article presents an analysis of the influence of context information on dialog act recognition. We performed experiments on the widely explored Switchboard corpus, as well as…
Towards Using Machine Translation Techniques to Induce Multilingual Lexica of Discourse Markers
António Lopes, David Martins de Matos, Vera Cabarrão +4
Discourse markers are universal linguistic events subject to language variation. Although an extensive literature has already reported language specific traits of these events, lit…
Using Generic Summarization to Improve Music Information Retrieval Tasks
Francisco Raposo, Ricardo Ribeiro, David Martins de Matos
In order to satisfy processing time constraints, many MIR tasks process only a segment of the whole music signal. This practice may lead to decreasing performance, since the most i…
On the Application of Generic Summarization Algorithms to Music
Francisco Raposo, Ricardo Ribeiro, David Martins de Matos
Several generic summarization algorithms were developed in the past and successfully applied in fields such as text and speech summarization. In this paper, we review and apply the…
Automatic Fado Music Classification
Pedro Girão Antunes, David Martins de Matos, Ricardo Ribeiro +1
In late 2011, Fado was elevated to the oral and intangible heritage of humanity by UNESCO. This study aims to develop a tool for automatic detection of Fado music based on the audi…
Centrality-as-Relevance: Support Sets and Similarity as Geometric Proximity
Ricardo Ribeiro, David Martins de Matos
In automatic summarization, centrality-as-relevance means that the most important content of an information source, or a collection of information sources, corresponds to the most…
Key Phrase Extraction of Lightly Filtered Broadcast News
Luis Marujo, Ricardo Ribeiro, David Martins de Matos +3
This paper explores the impact of light filtering on automatic key phrase extraction (AKE) applied to Broadcast News (BN). Key phrases are words and expressions that best character…