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» Unsupervised Relation Extraction From Web Documents
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CIKM
2008
Springer
13 years 10 months ago
Using structured text for large-scale attribute extraction
We propose a weakly-supervised approach for extracting class attributes from structured text available within Web documents. The overall precision of the extracted attributes is a...
Sujith Ravi, Marius Pasca
PAMI
2008
170views more  PAMI 2008»
13 years 8 months ago
Unsupervised Category Modeling, Recognition, and Segmentation in Images
Suppose a set of arbitrary (unlabeled) images contains frequent occurrences of 2D objects from an unknown category. This paper is aimed at simultaneously solving the following rel...
Sinisa Todorovic, Narendra Ahuja
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 1 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
VLDB
2001
ACM
127views Database» more  VLDB 2001»
14 years 8 months ago
Efficiently publishing relational data as XML documents
: XML is rapidly emerging as a standard for exchanging business data on the World Wide Web. For the foreseeable future, however, most business data will continue to be stored in re...
Jayavel Shanmugasundaram, Eugene J. Shekita, Rimon...
INLG
2010
Springer
13 years 6 months ago
Extracting Parallel Fragments from Comparable Corpora for Data-to-text Generation
Building NLG systems, in particular statistical ones, requires parallel data (paired inputs and outputs) which do not generally occur naturally. In this paper, we investigate the ...
Anja Belz, Eric Kow