Paraphrase detection can be seen as the task of aligning sentences that convey the same information but yet are written in different forms. Such resources are important to automat...
We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
The work described in this paper aims to enrich the noun classifications of an existing database of lexical resources (de Matos and Ribeiro, 2004) adding missing information such ...
Paula Cristina Vaz, David Martins de Matos, Nuno J...
Extracting knowledge from existing sources of information is a key development area to unlock previously unknown relationships between specific data points. Data mining is a techn...
This paper proposes the Frequency Modulation Neural Network as an alternative to current neuralnet models. This proposal is for an architecture of a heterogeneous neural-network i...