Mapping WordNets Using Structural Information

TL;DR

This paper introduces a robust method using relaxation labeling to accurately map lexical hierarchies, specifically aligning WordNet 1.5 with WordNet 1.6, achieving high precision and low ambiguity.

Contribution

It presents a novel application of constraint satisfaction algorithms for mapping lexical hierarchies, improving accuracy in linking WordNet versions.

Findings

High precision in mapping WordNet versions

Low ambiguity in node matching

Effective use of relaxation labeling algorithm

Abstract

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.