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» Open Information Extraction Using Wikipedia
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WWW
2008
ACM
14 years 8 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
ESWS
2007
Springer
14 years 1 months ago
What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content
Wikis are established means for the collaborative authoring, versioning and publishing of textual articles. The Wikipedia project, for example, succeeded in creating the by far lar...
Sören Auer, Jens Lehmann
LREC
2008
153views Education» more  LREC 2008»
13 years 9 months ago
Named Entity Relation Mining using Wikipedia
Discovering relations among Named Entities (NEs) from large corpora is both a challenging, as well as useful task in the domain of Natural Language Processing, with applications i...
Adrian Iftene, Alexandra Balahur-Dobrescu
KCAP
2011
ACM
12 years 10 months ago
An analysis of open information extraction based on semantic role labeling
Open Information Extraction extracts relations from text without requiring a pre-specified domain or vocabulary. While existing techniques have used only shallow syntactic featur...
Janara Christensen, Mausam, Stephen Soderland, Ore...
LREC
2010
182views Education» more  LREC 2010»
13 years 9 months ago
Wikicorpus: A Word-Sense Disambiguated Multilingual Wikipedia Corpus
This article presents a new freely available trilingual corpus (Catalan, Spanish, English) that contains large portions of the Wikipedia and has been automatically enriched with l...
Samuel Reese, Gemma Boleda, Montse Cuadros, Llu&ia...