activity
20132022
most citedCentrality-as-Relevance: Support Sets and Similarity as Geometric Proximity

27 citations · 140 across the 21 of their papers we have counts for

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11 papers · 1 filter

cs.CL2022

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…

cs.CL2020

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…

cs.CL2019★ 5 cited

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…

cs.CL2018★ 1 cited

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…

cs.CL2018

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…

cs.CL2017★ 1 cited

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…

cs.CL2016★ 2 cited

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,…

cs.CL2015★ 23 cited

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.…

cs.CL2015★ 20 cited

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…

cs.CL2015★ 6 cited

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…

cs.CL2013★ 1 cited

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…