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Title: Template rule development for information extraction: The net method
Author: Zeranou, Kalliopi
ISNI:       0000 0001 3577 0695
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2008
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Information Extraction (IE) is becoming increasingly important for the semantic analysis of free-text documents stored in large document repositories, such as the Web. Once free-text is analysed for the recognition of concepts and concept interrelations in events and facts of interest, the resulting structured information becomes a valuable knowledge resource. This resource can be of further use in other information management technologies, such as document summarisation, ontology development, semantic document indexing, question answering, etc., or can be further exploited by data mining and reasoning technologies.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available