Mapping General-Specific Noun Relationships to WordNet Hypernym/Hyponym Relations

Authors:
Gaël Dias;Raycho Mukelov;Guillaume Cleuziou
Affiliations:
Centre of Human Language Technology and Bioinformatics, University of Beira Interior, Covilhã, Portugal 6201-001;Centre of Human Language Technology and Bioinformatics, University of Beira Interior, Covilhã, Portugal 6201-001;Laboratoire d'Informatique Fondamentale d Orléans, University of Orléans, Orléans, France 45067
Venue:
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Year:
2008

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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.