A Machine Learning Approach to Automatic Term Extraction using a Rich Feature Set
Merley S. Conrado, Thiago Alexandre Salgueiro Pardo, Solange Oliveira Rezende · 2013
In this paper we propose an automatic term extraction approach that uses machine learning incorporating varied and rich features of candidate terms. In our preliminary experiments, we also tested different attribute selection methods to verify which features are more relevant for automatic term extraction. We achieved state of the art results for unigram extraction in Brazilian Portuguese.