Conference Proceedings
An unsupervised approach to domain-specific term extraction
SN Kim, T Baldwin, MY Kan
Australasian Language Technology Association Workshop Alta 2009 Proceedings | Australasian Language Technology Association | Published : 2009
Abstract
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.