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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Jickels, T., Kondrak, G. (2006). Unsupervised Labeling of Noun Clusters. In: Lamontagne, L., Marchand, M. (eds) Advances in Artificial Intelligence. Canadian AI 2006. Lecture Notes in Computer Science(), vol 4013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11766247_24
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DOI: https://doi.org/10.1007/11766247_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34628-9
Online ISBN: 978-3-540-34630-2
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