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Detail
BukuAutomatic Term and Relation Extraction for Medical Question Answering System
Bibliografi
Author: Fahmi, Ismail
Topik: Question Answering; Semantic Web; Ontology Population; Text-Summarization
Bahasa: (EN )    ISBN: 978-90-367-3827-9    
Penerbit: Groningen State University     Tempat Terbit: Groningen    Tahun Terbit: 2009    
Jenis: Theses - Dissertation
Fulltext: 14_thesis.pdf (2.35MB; 3 download)
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Abstract
“When you are on the right path, don’t worry, all the universe will help you,” said Madeleine Gardeur, the Director of International Relations of the University of Groningen (RUG), when I met her at the edge of my period as an employee of this university. This quote immediately pops up in my mind when I started writing this preface. This quote seems to show that her vision about me, when she met me for the first time in Bandung 9 years ago, is true. And this quote also reminds me to all people in my universe who had helped and influenced me during the last 7 years, since I prepared my master and PhD degrees, conducting researches, and now when this thesis shows it shape.
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