An End-To-End Learning Solution for Assessing the Quality of Wikipedia Articles
Authors | Quang-Vinh Dang Claudia-Lavinia Ignat |
|---|---|
Publication date | 2017 |
ISBN | 978-145035187-4 |
DOI | 10.1145/3125433.3125448 |
Links |
An End-To-End Learning Solution for Assessing the Quality of Wikipedia Articles - scientific work about Wikipedia quality published in 2017, written by Quang-Vinh Dang and Claudia-Lavinia Ignat.
Overview
Wikipedia is considered as the largest knowledge repository in the history of humanity and plays a crucial role in modern daily life. Assigning the correct quality class to Wikipedia articles is an important task in order to provide guidance for both authors and readers of Wikipedia. The manual review cannot cope with the editing speed of Wikipedia. An automatic classification is required to classify the quality of Wikipedia articles. Most existing approaches rely on traditional machine learning with manual feature engineering, which requires a lot of expertise and effort. Furthermore, it is known that there is no general perfect feature set because information leak always occurs in feature extraction phase. Also, for each language of Wikipedia, a new feature set is required. In this paper, authors present an approach relying on deep learning for quality classification of Wikipedia articles. Their solution relies on Recurrent Neural Networks (RNN) which is an endto-end learning technique that eliminates disadvantages of feature engineering. Their approach learns directly from raw data without human intervention and is language-neutral. Experimental results on English, French and Russian Wikipedia datasets show that their approach outperforms state-of-the-art solutions.
Embed
Wikipedia Quality
Dang, Quang Vinh; Ignat, Claudia Lavinia. (2017). "[[An End-To-End Learning Solution for Assessing the Quality of Wikipedia Articles]]". Library Hi Tech Volume 36, Issue 1, 2018, pp. 57-74. ISBN:978-145035187-4. DOI: 10.1145/3125433.3125448.
English Wikipedia
{{cite journal |last1=Dang |first1=Quang Vinh |last2=Ignat |first2=Claudia Lavinia |title=An End-To-End Learning Solution for Assessing the Quality of Wikipedia Articles |date=2017 |isbn=978-145035187-4 |doi=10.1145/3125433.3125448 |url=https://wikipediaquality.com/wiki/An_End-To-End_Learning_Solution_for_Assessing_the_Quality_of_Wikipedia_Articles |journal=Library Hi Tech Volume 36, Issue 1, 2018, pp. 57-74}}
HTML
Dang, Quang Vinh; Ignat, Claudia Lavinia. (2017). "<a href="https://wikipediaquality.com/wiki/An_End-To-End_Learning_Solution_for_Assessing_the_Quality_of_Wikipedia_Articles">An End-To-End Learning Solution for Assessing the Quality of Wikipedia Articles</a>". Library Hi Tech Volume 36, Issue 1, 2018, pp. 57-74. ISBN:978-145035187-4. DOI: 10.1145/3125433.3125448.
