An Unsupervised Approach to Domain-Specific Term Extraction
Sunam Kim, Tim Baldwin, Min‐Yen Kan · 2009
Domain-specific terms provide vital semantic information for many natural language processing (NLP) tasks and applications, but remain a largely untapped resource in the field. In this paper, we propose an unsupervised method to extract domain-specific terms from the Reuters document collection using term frequency and inverse document frequency. 1