no code implementations • LREC 2020 • Jo{\~a}o Ant{\'o}nio Rodrigues, Ruben Branco, Jo{\~a}o Silva, Ant{\'o}nio Branco
Given a recent publication that pointed out spurious statistical cues in the data set used in the shared task, and that produced a revised version of it, we also evaluated the reproduced systems with this new data set.
no code implementations • RANLP 2019 • Ma{\l}gorzata Salawa, Ant{\'o}nio Branco, Ruben Branco, Jo{\~a}o Ant{\'o}nio Rodrigues, Chakaveh Saedi
Vectorial representations of meaning can be supported by empirical data from diverse sources and obtained with diverse embedding approaches.
1 code implementation • WS 2018 • Jo{\~a}o Ant{\'o}nio Rodrigues, Ruben Branco, Jo{\~a}o Silva, Chakaveh Saedi, Ant{\'o}nio Branco
The task of taking a semantic representation of a noun and predicting the brain activity triggered by it in terms of fMRI spatial patterns was pioneered by Mitchell et al. 2008.
1 code implementation • WS 2018 • Chakaveh Saedi, Ant{\'o}nio Branco, Jo{\~a}o Ant{\'o}nio Rodrigues, Jo{\~a}o Silva
Semantic networks and semantic spaces have been two prominent approaches to represent lexical semantics.
no code implementations • SEMEVAL 2017 • Jo{\~a}o Ant{\'o}nio Rodrigues, Chakaveh Saedi, Vladislav Maraev, Jo{\~a}o Silva, Ant{\'o}nio Branco
This paper presents the results of systematic experimentation on the impact in duplicate question detection of different types of questions across both a number of established approaches and a novel, superior one used to address this language processing task.
no code implementations • WS 2016 • Rosa Gaudio, Gorka Labaka, Eneko Agirre, Petya Osenova, Kiril Simov, Martin Popel, Dieke Oele, Gertjan van Noord, Lu{\'\i}s Gomes, Jo{\~a}o Ant{\'o}nio Rodrigues, Steven Neale, Jo{\~a}o Silva, Andreia Querido, Nuno Rendeiro, Ant{\'o}nio Branco
no code implementations • LREC 2016 • Sanja {\v{S}}tajner, Andreia Querido, Nuno Rendeiro, Jo{\~a}o Ant{\'o}nio Rodrigues, Ant{\'o}nio Branco
In this paper, we address the problem of Machine Translation (MT) for a specialised domain in a language pair for which only a very small domain-specific parallel corpus is available.
no code implementations • LREC 2016 • Jo{\~a}o Ant{\'o}nio Rodrigues, Nuno Rendeiro, Andreia Querido, Sanja {\v{S}}tajner, Ant{\'o}nio Branco
The usual concern when opting for a rule-based or a hybrid machine translation (MT) system is how much effort is required to adapt the system to a different language pair or a new domain.