DMCA
People’s Web Meets NLP: Collaboratively Constructed Language Resources ” in the Springer
BibTeX
@MISC{Wikipedia_people’sweb,
author = {In Wikipedia and Oliver Ferschke and Johannes Daxenberger and Iryna Gurevych and Oliver Ferschke and Johannes Daxenberger and Iryna Gurevych and Johannes Daxenberger and Iryna Gurevych},
title = {People’s Web Meets NLP: Collaboratively Constructed Language Resources ” in the Springer},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract With the rise of the Web 2.0, participatory and collaborative content production have largely replaced the traditional ways of information sharing and have created the novel genre of collaboratively constructed language resources. A vast untapped potential lies in the dynamic aspects of these resources, which cannot be unleashed with traditional methods designed for static corpora. In this chapter, we focus on Wikipedia as the most prominent instance of collaboratively constructed language resources. In particular, we discuss the significance of Wikipedia’s revision history for applications in Natural Language Processing (NLP) and the unique prospects of the user discussions, a new resource that has just begun to be mined. While the body of research on processing Wikipedia’s revision history is dominated by works that use the revision data as the basis for practical applications such as spelling correction or vandalism detection, most of the work focused on user discussions uses NLP for analyzing and understanding the data itself.
Keyphrases
constructed language resource web meet nlp language resource wikipedia revision history user discussion vast untapped potential lie unique prospect information sharing practical application prominent instance new resource dynamic aspect novel genre collaborative content production traditional way revision data vandalism detection traditional method static corpus natural language processing
