KX: A Flexible System for Keyphrase eXtraction
Emanuele Pianta, Sara Tonelli · 2010
In this paper we present KX, a system for keyphrase extraction developed at FBK-IRST, which exploits basic linguistic annotation combined with simple statistical measures to select a list of weighted keywords from a document. The system is flexible in that it offers to the user the possibility of setting parameters such as frequency thresholds for collocation extraction and indicators for keyphrase relevance, as well as it allows for domain adaptation exploiting a corpus of documents in an unsupervised way. KX is also easily adaptable to new languages in that it requires only a PoS-Tagger to derive lexical patterns. In the SemEval task 5 “Automatic Keyphrase Extraction from Scientific Articles”, KX performance achieved satisfactory results both in finding reader-assigned keywords and