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ECML
1998
Springer
15 years 4 months ago
First-Order Learning for Web Mining
We present compelling evidence that the World Wide Web is a domain in which applications can benefit from using first-order learning methods, since the graph structure inherent in ...
Mark Craven, Seán Slattery, Kamal Nigam
ICML
2009
IEEE
16 years 17 days ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos
JAIR
2010
160views more  JAIR 2010»
14 years 10 months ago
Constructing Reference Sets from Unstructured, Ungrammatical Text
Vast amounts of text on the Web are unstructured and ungrammatical, such as classified ads, auction listings, forum postings, etc. We call such text “posts.” Despite their in...
Matthew Michelson, Craig A. Knoblock
IJCAI
2001
15 years 1 months ago
Mining Soft-Matching Rules from Textual Data
Text mining concerns the discovery of knowledge from unstructured textual data. One important task is the discovery of rules that relate specific words and phrases. Although exist...
Un Yong Nahm, Raymond J. Mooney
SIGIR
2002
ACM
14 years 11 months ago
Automatic evaluation of world wide web search services
Users of the World-Wide Web are not only confronted by an immense overabundance of information, but also by a plethora of tools for searching for the web pages that suit their inf...
Abdur Chowdhury, Ian Soboroff