Paper: A Machine Learning Approach to Automatic Term Extraction using a Rich Feature Set

ACL ID N13-2003
Title A Machine Learning Approach to Automatic Term Extraction using a Rich Feature Set
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Student Session
Year 2013
Authors

In this paper we propose an automatic term extraction approach that uses machine learn- ing incorporating varied and rich features of candidate terms. In our preliminary experi- ments, we also tested different attribute se- lection methods to verify which features are more relevant for automatic term extraction. We achieved state of the art results for uni- gram extraction in Brazilian Portuguese.