Difference between revisions of "Detecting Promotional Content in Wikipedia"

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{{Infobox work
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| title = Detecting Promotional Content in Wikipedia
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| date = 2013
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| authors = [[Shruti Bhosale]]<br />[[Heath Vinicombe]]<br />[[Raymond J. Mooney]]
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| link = http://www.cs.utexas.edu/users/ml/papers/bhosale.emnlp13.pdf
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}}
 
'''Detecting Promotional Content in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Shruti Bhosale]], [[Heath Vinicombe]] and [[Raymond J. Mooney]].
 
'''Detecting Promotional Content in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Shruti Bhosale]], [[Heath Vinicombe]] and [[Raymond J. Mooney]].
  
 
== Overview ==
 
== Overview ==
 
This paper presents an approach for detecting promotional content in [[Wikipedia]]. By incorporating stylometric [[features]], including features based on n-gram and PCFG language models, authors demonstrate improved accuracy at identifying promotional articles, compared to using only lexical information and metafeatures.
 
This paper presents an approach for detecting promotional content in [[Wikipedia]]. By incorporating stylometric [[features]], including features based on n-gram and PCFG language models, authors demonstrate improved accuracy at identifying promotional articles, compared to using only lexical information and metafeatures.

Revision as of 22:15, 5 March 2021


Detecting Promotional Content in Wikipedia
Authors
Shruti Bhosale
Heath Vinicombe
Raymond J. Mooney
Publication date
2013
Links
Original

Detecting Promotional Content in Wikipedia - scientific work related to Wikipedia quality published in 2013, written by Shruti Bhosale, Heath Vinicombe and Raymond J. Mooney.

Overview

This paper presents an approach for detecting promotional content in Wikipedia. By incorporating stylometric features, including features based on n-gram and PCFG language models, authors demonstrate improved accuracy at identifying promotional articles, compared to using only lexical information and metafeatures.