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» YAGO: A Large Ontology from Wikipedia and WordNet
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ACL
2009
14 years 10 months ago
Extracting Lexical Reference Rules from Wikipedia
This paper describes the extraction from Wikipedia of lexical reference rules, identifying references to term meanings triggered by other terms. We present extraction methods gear...
Eyal Shnarch, Libby Barak, Ido Dagan
GIR
2006
ACM
15 years 6 months ago
Inferring Geographical Ontologies from Multiple Resources for Geographical Information Retrieval
Many documents that can be found in the World Wide Web include some kind of geographical information, often in an implicit way. The use of resources like gazetteers and geographic...
Davide Buscaldi, Paolo Rosso, Piedachu Peris
130
Voted
FLAIRS
2000
15 years 1 months ago
Domain-Specific Knowledge Acquisition and Classification Using WordNet
For manyknowledgeintensive applications, it is necessary to have extensive domain-specific knowledgein addition to general-purpose knowledge bases usually built around MachineRead...
Dan I. Moldovan, Roxana Girju
101
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WWW
2008
ACM
16 years 1 months ago
Automatically refining the wikipedia infobox ontology
The combined efforts of human volunteers have recently extracted numerous facts from Wikipedia, storing them as machine-harvestable object-attribute-value triples in Wikipedia inf...
Fei Wu, Daniel S. Weld
ACL
2012
13 years 2 months ago
UWN: A Large Multilingual Lexical Knowledge Base
We present UWN, a large multilingual lexical knowledge base that describes the meanings and relationships of words in over 200 languages. This paper explains how link prediction, ...
Gerard de Melo, Gerhard Weikum