Difference between revisions of "French Wikipedia Talk Pages: Profiling and Conflict Detection"
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| − | '''French Wikipedia Talk Pages: Profiling and Conflict Detection''' - scientific work related to Wikipedia quality published in 2016, written by Lydia-Mai Ho-Dac, Veronika Laippala, Céline Poudat and Ludovic Tanguy. | + | '''French Wikipedia Talk Pages: Profiling and Conflict Detection''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Lydia-Mai Ho-Dac]], [[Veronika Laippala]], [[Céline Poudat]] and [[Ludovic Tanguy]]. |
== Overview == | == Overview == | ||
| − | Wikipedia is a popular and extremely useful resource for studies in both linguistics and natural language processing (Yano and Kang, 2008; Ferschke et al., 2013). This paper introduces a new language resource based on the French Wikipedia online discussion pages, the WikiTalk corpus. The publicly available corpus includes 160M words and 3M posts structured into 1M thematic sections and has been syntactically parsed with the Talismane toolkit (Urieli, 2013). In this paper, authors present the first results of experiments aiming at classifying and profiling the talk pages and threads in order to determine criteria for selecting discussions with conflicts. | + | Wikipedia is a popular and extremely useful resource for studies in both linguistics and [[natural language processing]] (Yano and Kang, 2008; Ferschke et al., 2013). This paper introduces a new language resource based on the French [[Wikipedia]] online discussion pages, the WikiTalk corpus. The publicly available corpus includes 160M words and 3M posts structured into 1M thematic sections and has been syntactically parsed with the Talismane toolkit (Urieli, 2013). In this paper, authors present the first results of experiments aiming at classifying and profiling the [[talk pages]] and threads in order to determine criteria for selecting discussions with conflicts. |
Revision as of 23:39, 1 September 2019
French Wikipedia Talk Pages: Profiling and Conflict Detection - scientific work related to Wikipedia quality published in 2016, written by Lydia-Mai Ho-Dac, Veronika Laippala, Céline Poudat and Ludovic Tanguy.
Overview
Wikipedia is a popular and extremely useful resource for studies in both linguistics and natural language processing (Yano and Kang, 2008; Ferschke et al., 2013). This paper introduces a new language resource based on the French Wikipedia online discussion pages, the WikiTalk corpus. The publicly available corpus includes 160M words and 3M posts structured into 1M thematic sections and has been syntactically parsed with the Talismane toolkit (Urieli, 2013). In this paper, authors present the first results of experiments aiming at classifying and profiling the talk pages and threads in order to determine criteria for selecting discussions with conflicts.
