Difference between revisions of "Wu and Weld WWW 2008"

From Cohen Courses
Jump to navigationJump to search
Line 8: Line 8:
  
 
== Summary ==
 
== Summary ==
 
This is an early and influential [[Category::paper]] presenting an unsupervised approach to [[AddressesProblem::review classification]]. There are three basic ideas introduced here.
 
  
 
This is a [[Category::paper]] that introduces an autonomous system for refining Wikipedia’s
 
This is a [[Category::paper]] that introduces an autonomous system for refining Wikipedia’s
infobox information schema to create a cleanly-structured ontology that allows accurate extraction of semantic knowledge from natural language text. The ontology refinement problem is solved using both [[UsesMethod::Support Vector Machines]] and a more powerful joint-inference approach expressed in [[UsesMethod::Markov Logic Networks]].  
+
infobox information schema to create a cleanly-structured ontology that allows accurate extraction of semantic knowledge from natural language text. The ontology refinement problem is solved using both [[UsesMethod::Support Vector Machines]] and a more powerful joint-inference approach expressed in [[UsesMethod::Markov Logic Networks]].
  
 
== Experimental Result ==
 
== Experimental Result ==

Revision as of 02:56, 21 September 2011

Citation

Wu, F. and Weld, D. 2008. Automatically Refining the Wikipedia Infobox Ontology. In Proceedings of the 17th Conference of the World Wide Web, pp. 635-644, ACM, New York.

Online version

University of Washington

Summary

This is a paper that introduces an autonomous system for refining Wikipedia’s infobox information schema to create a cleanly-structured ontology that allows accurate extraction of semantic knowledge from natural language text. The ontology refinement problem is solved using both Support Vector Machines and a more powerful joint-inference approach expressed in Markov Logic Networks.

Experimental Result

...

Related papers

This paper is based on Wu and Weld CIKM 2007.