Extraction of non-hierarchical relations from domain texts
Document Type
Conference Proceeding
Publication Date
9-25-2007
Abstract
Ontology of a domain mainly consists of concepts, hierarchical relations, and non-hierarchical relations. Even though there exists a variety of methods for extracting concepts and hierarchical relations, very little concentration is on identification and labeling of non-hierarchical relations. In this paper, we present an unsupervised technique for the identification of nonhierarchical relations between the concepts using VF*ICF metric and log-likelihood ratios. The proposed approach is experimented with the electronic voting domain texts and is also compared with one of the existing approaches. © 2007 IEEE.
Publication Source (Journal or Book title)
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007
First Page
444
Last Page
449
Recommended Citation
Punuru, J., & Chen, J. (2007). Extraction of non-hierarchical relations from domain texts. Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, 444-449. https://doi.org/10.1109/CIDM.2007.368908