Paper: Mapping Multilingual Hierarchies Using Relaxation Labeling

ACL ID W99-0603
Title Mapping Multilingual Hierarchies Using Relaxation Labeling
Venue 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
Session Main Conference
Year 1999

This paper explores the automatic construction of a multilingual Lexical Knowledge Base from pre-existing lexical resources. We present a new and robust approach for linking already existing lexical/semantic hierarchies. We used a con- straint satisfaction algorithm (relaxation label- ing) to select -among all the candidate trans- lations proposed by a bilingual dictionary- the right English WordNet synset for each sense in a taxonomy automatically derived from a Span- ish monolingua] dictionary. Although on aver- age, there are 15 possible WordNet connections for each sense in the taxonomy, the method achieves an accuracy over 80~. Finally, we also propose several ways in which this technique could be applied to enrich and improve exist- ing lexical databases.