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LREC
2010
190views Education» more  LREC 2010»
14 years 11 months ago
Semi-Automatic Domain Ontology Creation from Text Resources
Analysts in various domains, especially intelligence and financial, have to constantly extract useful knowledge from large amounts of unstructured or semi-structured data. Keyword...
Mithun Balakrishna, Dan I. Moldovan, Marta Tatu, M...
LREC
2010
189views Education» more  LREC 2010»
14 years 11 months ago
Extracting Surface Realisation Templates from Corpora
In Natural Language Generation (NLG), template-based surface realisation is an effective solution to the problem of producing surface strings from a given semantic representation,...
Thiago D. Tadeu, Eder M. de Novais, Ivandré...
ACL
2010
14 years 7 months ago
Learning 5000 Relational Extractors
Many researchers are trying to use information extraction (IE) to create large-scale knowledge bases from natural language text on the Web. However, the primary approach (supervis...
Raphael Hoffmann, Congle Zhang, Daniel S. Weld
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
15 years 10 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho
108
Voted
LREC
2008
193views Education» more  LREC 2008»
14 years 11 months ago
Eksairesis: A Domain-Adaptable System for Ontology Building from Unstructured Text
This paper describes Eksairesis, a system for learning economic domain knowledge automatically from Modern Greek text. The knowledge is in the form of economic terms and the seman...
Katia Kermanidis, Aristomenis Thanopoulos, Manolis...