Difference between revisions of "Wu and Weld WWW 2008"
From Cohen Courses
Jump to navigationJump to search| Line 9: | Line 9: | ||
== Summary == | == Summary == | ||
| − | This is a [[Category:: | + | 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 [[AddressesProblem::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 [[AddressesProblem::ontology refinement]] problem is solved using both [[UsesMethod::Support Vector Machines]] and a more powerful joint-inference approach expressed in [[UsesMethod::Markov Logic Networks]]. | ||
Revision as of 03:21, 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
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.
