Paper: Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia

ACL ID P14-2031
Title Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

In this study, we analyze links between edits in Wikipedia articles and turns from their discussion page. Our motivation is to better understand implicit details about the writing process and knowledge flow in collaboratively created resources. Based on properties of the involved edit and turn, we have defined constraints for corre- sponding edit-turn-pairs. We manually an- notated a corpus of 636 corresponding and non-corresponding edit-turn-pairs. Fur- thermore, we show how our data can be used to automatically identify correspond- ing edit-turn-pairs. With the help of su- pervised machine learning, we achieve an accuracy of .87 for this task.