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» Using Wikipedia to bootstrap open information extraction
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IAAI
2001
13 years 8 months ago
An Open Architecture for Multi-Domain Information Extraction
This paper presents a multi-domain information extraction system. The overall architecture of the system is detailed. A set of machine learning tools helps the expert to explore t...
Thierry Poibeau
WIKIS
2006
ACM
14 years 1 months ago
Semantic Wikipedia
Wikipedia is the world’s largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its contents are barely machine-interpretable. Structural...
Heiko Haller, Markus Krötzsch, Max Völke...
WSDM
2009
ACM
114views Data Mining» more  WSDM 2009»
14 years 2 months ago
Wikipedia pages as entry points for book search
A lot of the world’s knowledge is stored in books, which, as a result of recent mass-digitisation efforts, are increasingly available online. Search engines, such as Google Book...
Marijn Koolen, Gabriella Kazai, Nick Craswell
WSDM
2012
ACM
252views Data Mining» more  WSDM 2012»
12 years 3 months ago
WebSets: extracting sets of entities from the web using unsupervised information extraction
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
Bhavana Bharat Dalvi, William W. Cohen, Jamie Call...
AIRS
2004
Springer
14 years 26 days ago
A Bootstrapping Approach for Geographic Named Entity Annotation
Abstract. Geographic named entities can be classified into many subtypes that are useful for applications such as information extraction and question answering. In this paper, we ...
Seungwoo Lee, Gary Geunbae Lee