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Mapping Multilingual Hierarchies Using Relaxation Labeling

J. Daude·L. Padro·G. Rigau
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Abstract

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 constraint satisfaction algorithm (relaxation labeling) to select --among all the candidate translations proposed by a bilingual dictionary-- the right English WordNet synset for each sense in a taxonomy automatically derived from a Spanish monolingual dictionary. Although on average, 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 existing lexical databases.

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J. Daude, L. Padro, G. Rigau. 1999-06-24. Mapping Multilingual Hierarchies Using Relaxation Labeling. https://arxiv.org/abs/cs/9906025

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