Unsupervised labeling of noun clusters

Authors:
Theresa Jickels;Grzegorz Kondrak
Affiliations:
Department of Computing Science, University of Alberta, Edmonton, AB, Canada;Department of Computing Science, University of Alberta, Edmonton, AB, Canada
Venue:
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Year:
2006

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Abstract

Semantic knowledge is important in many areas of natural language processing. We propose a new unsupervised learning algorithm to annotate groups of nouns with hypernym labels. Several variations of the algorithm are presented, including a method that utilizes semantic information from WordNet. The algorithm's results are compared against an independently-developed labeling method. The evaluation is performed using labels assigned to noun clusters by several participants of a specially designed human study.