Quality Assessment of Wikipedia Articles Without Feature Engineering
Authors | Quang-Vinh Dang Claudia-Lavinia Ignat |
|---|---|
Publication date | 2016 |
ISSN | 15525996 |
ISBN | 978-145034229-2 |
DOI | 10.1145/2910896.2910917 |
Links |
Quality Assessment of Wikipedia Articles Without Feature Engineering - scientific work about Wikipedia quality published in 2016, written by Quang-Vinh Dang and Claudia-Lavinia Ignat.
Overview
As Wikipedia became the largest human knowledge repository, quality measurement of its articles received a lot of attention during the last decade. Most research efforts focused on classification of Wikipedia articles quality by using a different feature set. However, so far, no 'golden feature set' was proposed. In this paper, authors present a novel approach for classifying Wikipedia articles by analysing their content rather than by considering a feature set. Their approach uses recent techniques in natural language processing and deep learning, and achieved a comparable result with the state-of-the-art.
Embed
Wikipedia Quality
Dang, Quang Vinh; Ignat, Claudia Lavinia. (2016). "[[Quality Assessment of Wikipedia Articles Without Feature Engineering]]". International Journal of Medical Informatics Volume 95, 1 November 2016, pp. 8-16. ISBN: 978-145034229-2. ISSN: 15525996. DOI: 10.1145/2910896.2910917.
English Wikipedia
{{cite journal |last1=Dang |first1=Quang Vinh |last2=Ignat |first2=Claudia Lavinia |title=Quality Assessment of Wikipedia Articles Without Feature Engineering |date=2016 |isbn=978-145034229-2 |issn=15525996 |doi=10.1145/2910896.2910917 |url=https://wikipediaquality.com/wiki/Quality_Assessment_of_Wikipedia_Articles_Without_Feature_Engineering |journal=International Journal of Medical Informatics Volume 95, 1 November 2016, pp. 8-16}}
HTML
Dang, Quang Vinh; Ignat, Claudia Lavinia. (2016). "<a href="https://wikipediaquality.com/wiki/Quality_Assessment_of_Wikipedia_Articles_Without_Feature_Engineering">Quality Assessment of Wikipedia Articles Without Feature Engineering</a>". International Journal of Medical Informatics Volume 95, 1 November 2016, pp. 8-16. ISBN: 978-145034229-2. ISSN: 15525996. DOI: 10.1145/2910896.2910917.
