The main challenge of semi-automatic term extraction methods

Abstract

Term extraction is the basis for many tasks such as building of taxonomies, ontologies and dictionaries, for translation, organization and retrieval of textual data. This paper studies themain challenge of semi-automatic termextraction methods, which is the difficulty to analyze the rank of candidates created by these methods. With the experimental evaluation performed in this work, it is possible to fairly compare a wide set of semi-automatic termextraction methods, which allows other future investigations. Additionally, we discovered which level of knowledge and threshold should be adopted for these methods in order to obtain good precision or F-measure. The results show there is not a unique method that is the best one for the three used corpora.