Abstract
In this paper, we propose a new methodology based on directed graphs and the TextRank algorithm to automatically induce general-specific noun relations from web corpora frequency counts. Different asymmetric association measures are implemented to build the graphs upon which the TextRank algorithm is applied and produces an ordered list of nouns from the most general to the most specific. Experiments are conducted based on the WordNet noun hierarchy and both quantitative and qualitative evaluations are proposed. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Dias, G., Mukelov, R., & Cleuziou, G. (2008). Mapping general-specific noun relationships to WordNet hypernym/hyponym relations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5268 LNAI, pp. 198–212). Springer Verlag. https://doi.org/10.1007/978-3-540-87696-0_19
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