Search Results for author: Ricardo Ribeiro

Found 31 papers, 0 papers with code

Hate Speech Dynamics Against African descent, Roma and LGBTQI Communities in Portugal

no code implementations LREC 2022 Paula Carvalho, Bernardo Cunha, Raquel Santos, Fernando Batista, Ricardo Ribeiro

This paper introduces FIGHT, a dataset containing 63, 450 tweets, posted before and after the official declaration of Covid-19 as a pandemic by online users in Portugal.

Learning Rhetorical Structure Theory-based descriptions of observed behaviour

no code implementations24 Jun 2022 Luis Botelho, Luis Nunes, Ricardo Ribeiro, Rui J. Lopes

The current paper proposes a new set of concepts, axiom schemata and algorithms that allow the agent to learn new descriptions of an observed behaviour (e. g., perplexing actions), of its actor (e. g., undesired propositions or actions), and of its environment (e. g., incompatible propositions).

Towards Learning Through Open-Domain Dialog

no code implementations7 Feb 2022 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 to humans and change how we relate to them.

Open-Domain Dialog

Online Body Schema Adaptation through Cost-Sensitive Active Learning

no code implementations26 Jan 2021 Gonçalo Cunha, Pedro Vicente, Alexandre Bernardino, Ricardo Ribeiro, Plínio Moreno

The results show cost-sensitive active learning has similar accuracy to the standard active learning approach, while reducing in about half the executed movement.

Active Learning

Mapping the Dialog Act Annotations of the LEGO Corpus into ISO 24617-2 Communicative Functions

no code implementations LREC 2020 Eug{\'e}nio Ribeiro, Ricardo Ribeiro, David Martins de Matos

Although this does not lead to a complete annotation according to the standard, the 347 dialogs provide a relevant amount of data that can be used in the development of automatic communicative function recognition approaches, which may lead to a wider adoption of the standard.

Automatic Recognition of the General-Purpose Communicative Functions defined by the ISO 24617-2 Standard for Dialog Act Annotation

no code implementations7 Mar 2020 Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos

We explore the recognition of general-purpose communicative functions in the DialogBank, which is a reference set of dialogs annotated according to this standard.

Transfer Learning

Hierarchical Multi-Label Dialog Act Recognition on Spanish Data

no code implementations29 Jul 2019 Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos

Concerning the single-label classification problem posed by the top level, we show that the conclusions drawn on English data also hold on Spanish data.

Multi-Label Classification

Low-dimensional Embodied Semantics for Music and Language

no code implementations20 Jun 2019 Francisco Afonso Raposo, David Martins de Matos, Ricardo Ribeiro

We further show that joint modeling of several subjects increases the semantic richness of the learned latent vector spaces.

Topic Classification

Learning Embodied Semantics via Music and Dance Semiotic Correlations

no code implementations25 Mar 2019 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.

Cross-Modal Retrieval Retrieval

Deep Dialog Act Recognition using Multiple Token, Segment, and Context Information Representations

no code implementations23 Jul 2018 Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos

Recently, most approaches to the task explored different DNN architectures to combine the representations of the words in a segment and generate a segment representation that provides cues for intention.

Word Embeddings

A Study on Dialog Act Recognition using Character-Level Tokenization

no code implementations18 May 2018 Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos

In both cases, the experiments not only show that character-level tokenization leads to better performance than the typical word-level approaches, but also that both approaches are able to capture complementary information.

Towards Deep Modeling of Music Semantics using EEG Regularizers

no code implementations14 Dec 2017 Francisco Raposo, David Martins de Matos, Ricardo Ribeiro, Suhua Tang, Yi Yu

Modeling of music audio semantics has been previously tackled through learning of mappings from audio data to high-level tags or latent unsupervised spaces.

Cross-Modal Retrieval EEG +3

Assessing User Expertise in Spoken Dialog System Interactions

no code implementations18 Jan 2017 Eugénio Ribeiro, Fernando Batista, Isabel Trancoso, José Lopes, Ricardo Ribeiro, David Martins de Matos

Identifying the level of expertise of its users is important for a system since it can lead to a better interaction through adaptation techniques.

An Information-theoretic Approach to Machine-oriented Music Summarization

no code implementations7 Dec 2016 Francisco Raposo, David Martins de Matos, Ricardo Ribeiro

Our results suggest that relative entropy is a good predictor of summarization performance in the context of tasks relying on a bag-of-features model.

Fast and Extensible Online Multivariate Kernel Density Estimation

no code implementations8 Jun 2016 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.

Computational Efficiency Density Estimation

Software Agents with Concerns of their Own

no code implementations12 Nov 2015 Luis Botelho, Luis Nunes, Ricardo Ribeiro, Rui J. Lopes

The first-person or intrinsic meaning of an entity to a system is defined as its relation with the system's goals and capabilities, given the properties of the environment in which it operates.

Generation of Multimedia Artifacts: An Extractive Summarization-based Approach

no code implementations13 Aug 2015 Paulo Figueiredo, Marta Aparício, David Martins de Matos, Ricardo Ribeiro

We explore methods for content selection and address the issue of coherence in the context of the generation of multimedia artifacts.

Extractive Summarization

Summarization of Films and Documentaries Based on Subtitles and Scripts

no code implementations3 Jun 2015 Marta Aparício, Paulo Figueiredo, Francisco Raposo, David Martins de Matos, Ricardo Ribeiro, Luís Marujo

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.

Text Summarization

The Influence of Context on Dialogue Act Recognition

no code implementations2 Jun 2015 Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos

We performed experiments on the widely explored Switchboard corpus, as well as on data annotated according to the recent ISO 24617-2 standard.

Using Generic Summarization to Improve Music Information Retrieval Tasks

no code implementations23 Mar 2015 Francisco Raposo, Ricardo Ribeiro, David Martins de Matos

We evaluate the summarization process on binary and multiclass music genre classification tasks, by comparing the performance obtained using summarized datasets against the performances obtained using continuous segments (which is the traditional method used for addressing the previously mentioned time constraints) and full songs of the same original dataset.

General Classification Genre classification +4

On the Application of Generic Summarization Algorithms to Music

no code implementations18 Jun 2014 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.

General Classification

Revising the annotation of a Broadcast News corpus: a linguistic approach

no code implementations LREC 2014 Vera Cabarr{\~a}o, Helena Moniz, Fern Batista, o, Ricardo Ribeiro, Nuno Mamede, Hugo Meinedo, Isabel Trancoso, Ana Isabel Mata, David Martins de Matos

This paper presents a linguistic revision process of a speech corpus of Portuguese broadcast news focusing on metadata annotation for rich transcription, and reports on the impact of the new data on the performance for several modules.

speech-recognition Speech Recognition

OpenLogos Semantico-Syntactic Knowledge-Rich Bilingual Dictionaries

no code implementations LREC 2014 Anabela Barreiro, Fern Batista, o, Ricardo Ribeiro, Helena Moniz, Isabel Trancoso

This paper presents 3 sets of OpenLogos resources, namely the English-German, the English-French, and the English-Italian bilingual dictionaries.

Machine Translation Translation

Centrality-as-Relevance: Support Sets and Similarity as Geometric Proximity

no code implementations16 Jan 2014 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 central passages, considering a representation where such notion makes sense (graph, spatial, etc.).

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