Automatically detecting corresponding edit-turn-pairs in Wikipedia
|Automatically detecting corresponding edit-turn-pairs in Wikipedia|
|Author(s)||Daxenberger J., Gurevych I.|
|Published in||52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference|
|Keyword(s)||Unknown (Extra: Knowledge flow, Supervised machine learning, Wikipedia, Wikipedia articles, Writing process, Computational linguistics)|
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Automatically detecting corresponding edit-turn-pairs in Wikipedia is a 2014 conference paper written in English by Daxenberger J., Gurevych I. and published in 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference.
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 corresponding edit-turn-pairs. We manually annotated a corpus of 636 corresponding and non-corresponding edit-turn-pairs. Furthermore, we show how our data can be used to automatically identify corresponding edit-turn-pairs. With the help of supervised machine learning, we achieve an accuracy of 87 for this task.
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