Abstract
Building a thesaurus is very costly and time-consuming task. To alleviate this problem, this paper proposes a new method for extending a thesaurus by adding taxonomic information automatically extracted from an MRD. The proposed method adopts a machine learning algorithm in acquiring rules for identifying a taxonomic relationship to minimize human-intervention. The accuracy of our method in identifying hypernyms of a noun is 89.7%, and it shows that the proposed method can be successfully applied to the problem of extending a thesaurus.
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© 2005 Springer-Verlag Berlin Heidelberg
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Choi, S., Park, H. (2005). Finding Taxonomical Relation from an MRD for Thesaurus Extension. In: Dale, R., Wong, KF., Su, J., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2005. IJCNLP 2005. Lecture Notes in Computer Science(), vol 3651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562214_32
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DOI: https://doi.org/10.1007/11562214_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29172-5
Online ISBN: 978-3-540-31724-1
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