A Metric-based Framework for Automatic Taxonomy Induction

Abstract

This paper presents a novel metric-based framework for the task of automatic taxonomy induction. The framework incrementally clusters terms based on ontology metric, a score indicating semantic distance; and transforms the task into a multi-criteria optimization based on minimization of taxonomy structures and modeling of term abstractness. It combines the… (More)
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@inproceedings{Yang2009AMF, title={A Metric-based Framework for Automatic Taxonomy Induction}, author={Grace Hui Yang and James P. Callan}, booktitle={ACL/IJCNLP}, year={2009} }