Shallow parsing with pos taggers and linguistic features
The Journal of Machine Learning Research
Mining Semantic Networks for Knowledge Discovery
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Automatic acquisition of domain knowledge for Information Extraction
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
A semantic approach to IE pattern induction
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
RelExt: a tool for relation extraction from text in ontology extension
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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Semantic information extraction is a process of extracting concepts, entities, relations and entailment rules from a document. We propose an approach to extract concepts, entities and relations from the domain specific Tamil textual documents corpus. Concepts are extracted out by identifying semantic relationship between unique terms in documents by lexical database namely WordNet. Entity extraction process identifies proper names and its predefined named entity categories. Relation between two entities or between two concepts or between concept and entity in each sentence are extracted. This extracted semantic knowledge is exploited as a resource for extracting semantic information from the domain-related documents.