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AAAI
1998
15 years 1 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
BMCBI
2008
91views more  BMCBI 2008»
14 years 12 months ago
PageRank without hyperlinks: Reranking with PubMed related article networks for biomedical text retrieval
Background: Graph analysis algorithms such as PageRank and HITS have been successful in Web environments because they are able to extract important inter-document relationships fr...
Jimmy J. Lin
CIKM
2005
Springer
15 years 5 months ago
Concept-based interactive query expansion
Despite the recent advances in search quality, the fast increase in the size of the Web collection has introduced new challenges for Web ranking algorithms. In fact, there are sti...
Bruno M. Fonseca, Paulo Braz Golgher, Bruno P&ocir...
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AI
2005
Springer
14 years 11 months ago
Unsupervised named-entity extraction from the Web: An experimental study
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...
AAAI
2004
15 years 1 months ago
Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison
Our KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an autonomous, domain...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...