Mapping WordNets Using Structural Information

Details Mapping WordNets Using Structural Information Mapping WordNets Using Structural Information

2000-07-25

arxiv.org/abs/cs/0007035v1

38th Anual Meeting of the Association for Computational Linguistics (ACL'2000). Hong Kong, October 2000.

Computer Science

Computation and Language

8 pages, uses epsfig. To appear in ACL'2000 proceedings

Scientific paper

We present a robust approach for linking already existing lexical/semantic hierarchies. We used a constraint satisfaction algorithm (relaxation labeling) to select --among a set of candidates-- the node in a target taxonomy that bests matches each node in a source taxonomy. In particular, we use it to map the nominal part of WordNet 1.5 onto WordNet 1.6, with a very high precision and a very low remaining ambiguity.

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