Use of syntactic context to produce term association lists for text retrieval
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Context-based Hierarchical Clustering for the Ontology Learning
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
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Ontological concept Relation extraction is a difficult research problem. In this paper, we aim to extract multi-type relations from the text analyses and the existent relations (in the concept hierarchy). Our approach combines a verb centered method, lexical analyses, syntactic and statistic ones. It is based on a rich contextual modeling that strengthens the term co-occurrence selection, a lexical analysis, a use of the existent relations in the concept hierarchy and a stepping between the extracted relations to validate them and facilitate the evaluation made by the domain experts.