Unsupervised Learning of General-Specific Noun Relations from the Web

Gael Dias, Raycho Mukelov, Guillaume Cleuziou

In this paper, we propose a new methodology based on directed weighted 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 a quantitative evaluation is proposed.

Subjects: 13. Natural Language Processing; 12. Machine Learning and Discovery

Submitted: Feb 25, 2008


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