Extracting conceptual relations from Persian resources
|Extracting conceptual relations from Persian resources|
|Author(s)||Fadaei H., Shamsfard M.|
|Published in||ITNG2010 - 7th International Conference on Information Technology: New Generations|
|Keyword(s)||Information extraction, Ontology learning, Pattern matching, Relation extraction, Wikipedia (Extra: Conceptual relations, Information Extraction, Persians, Relation extraction, Statistical approach, Structure-based, System use, Wikipedia, Information analysis, Information technology, Linguistics, Pattern matching, Ontology)|
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Extracting conceptual relations from Persian resources is a 2010 conference paper written in English by Fadaei H., Shamsfard M. and published in ITNG2010 - 7th International Conference on Information Technology: New Generations.
In this paper we present a relation extraction system which uses a combination of pattern based, structure based and statistical approaches. This system uses raw texts and Wikipedia articles to learn conceptual relations. Wikipedia structures are rich source of information in relation extraction and are well used in this system. A set of patterns are extracted for Persian language and are used to learn both taxonomic and non-taxonomic relations. This system is one of the few relation extraction systems designed for Persian language and is the first system among them which uses Wikipedia structures in the process of relation learning.
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