Paper: Fully Unsupervised Graph-Based Discovery of General-Specific Noun Relationships from Web Corpora Frequency Counts

ACL ID W08-2113
Title Fully Unsupervised Graph-Based Discovery of General-Specific Noun Relationships from Web Corpora Frequency Counts
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2008
Authors

In this paper, we propose a new metho- dology based on directed graphs and the TextRank algorithm to automatically in- duce general-specific noun relations from web corpora frequency counts. Different asymmetric association measures are im- plemented 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 specif- ic. Experiments are conducted based on the WordNet noun hierarchy and assess 65.69% of correct word ordering.