A Contrastive Approach to Multi-word Extraction from Domain-specific Corpora

In this paper we present a novel approach to multi-word terminology extraction combining a well-known automatic term recognition approach, the C-NC value method, with a contrastive ranking technique, aimed at refining obtained results either by filtering noise due to common words or by discerning between semantically different types of terms within heterogeneous terminologies. The proposed methodology has been tested in two case studies carried out in the History of Art and Legal domains with promising results.