IPhraxtor - A linguistically informed system for extraction of term candidates

In this paper a method and a flexible tool for performing monolingual term extraction is presented, based on the use of syntactic analysis where information on parts-of-speech, syntactic functions and surface syntax tags can be utilised. The standard approaches to evaluating term extraction, namely by manual evaluation of the top n term candidates or by comparing to a gold standard consisting of a list of terms from a specific domain can have its advantages, but in this paper we try to realise a proposal by Bernier-Colborne (2012) where extracted terms are compared to a gold standard consisting of a test corpus where terms have been annotated in context. Apart from applying this evaluation to different configurations of the tool, practical experiences from using the tool for real world situations are described