Building Accurate Semantic Taxonomies from Monolingual MRDs

This paper presents a method that conbines a set of unsupervised algorithms in order to accurately build large taxonomies from any machine-readable dictionary (MRD). Our aim is to profit from conventional MRDs, with no explicit semantic coding. We propose a system that 1) performs fully automatic extraction of taxonomic links from MRD entries and 2) ranks the extracted relations in a way that selective manual refinement is allowed. Tested accuracy can reach around 100% depending on the degree of coverage selected, showing that taxonomy building is not limited to structured dictionaries such as LDOCE.

• Type: Conference
• Year: 1998
• Where: ACL
• Authors: German Rigau, Eneko Agirre
• Keywords: ACL 1998, ACL 2007, Explicit Semantic Coding, MRD Entries, Selective Manual Refinement