Difference between revisions of "Extracting Common Sense Knowledge from Wikipedia"

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(Overview - Extracting Common Sense Knowledge from Wikipedia)
 
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'''Extracting Common Sense Knowledge from Wikipedia''' - scientific work related to Wikipedia quality published in 2006, written by Sangweon Suh, Harry Halpin and Ewan Klein.
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'''Extracting Common Sense Knowledge from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2006, written by [[Sangweon Suh]], [[Harry Halpin]] and [[Ewan Klein]].
  
 
== Overview ==
 
== Overview ==
Much of the natural language text found on the web contains various kinds of generic or "common sense" knowledge, and this informa- tion has long been recognized by artificial intelligence as an important supplement to more formal approaches to building Semantic Web knowl- edge bases. Consequently, authors are exploring the possibility of automati- cally identifying "common sense" statements from unrestricted natural language text and mapping them to RDF. Authors hypothesis is that com- mon sense knowledge is often expressed in the form of generic statements such as Coee is a popular beverage , and thus work has focussed on the challenge of automatically identifying generic statements. Authors have been using the Wikipedia xml corpus as a rich source of common sense knowledge. For evaluation, authors have been using the existing annotation of generic entities and relations in the ace 2005 corpus.
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Much of the natural language text found on the web contains various kinds of generic or "common sense" knowledge, and this informa- tion has long been recognized by [[artificial intelligence]] as an important supplement to more formal approaches to building Semantic Web knowl- edge bases. Consequently, authors are exploring the possibility of automati- cally identifying "common sense" statements from unrestricted natural language text and mapping them to RDF. Authors hypothesis is that com- mon sense knowledge is often expressed in the form of generic statements such as Coee is a popular beverage , and thus work has focussed on the challenge of automatically identifying generic statements. Authors have been using the [[Wikipedia]] xml corpus as a rich source of common sense knowledge. For evaluation, authors have been using the existing annotation of generic entities and relations in the ace 2005 corpus.

Revision as of 08:53, 5 December 2019

Extracting Common Sense Knowledge from Wikipedia - scientific work related to Wikipedia quality published in 2006, written by Sangweon Suh, Harry Halpin and Ewan Klein.

Overview

Much of the natural language text found on the web contains various kinds of generic or "common sense" knowledge, and this informa- tion has long been recognized by artificial intelligence as an important supplement to more formal approaches to building Semantic Web knowl- edge bases. Consequently, authors are exploring the possibility of automati- cally identifying "common sense" statements from unrestricted natural language text and mapping them to RDF. Authors hypothesis is that com- mon sense knowledge is often expressed in the form of generic statements such as Coee is a popular beverage , and thus work has focussed on the challenge of automatically identifying generic statements. Authors have been using the Wikipedia xml corpus as a rich source of common sense knowledge. For evaluation, authors have been using the existing annotation of generic entities and relations in the ace 2005 corpus.