Quality Assessment of Wikipedia Articles Without Feature Engineering

From Wikipedia Quality
Revision as of 23:03, 30 June 2018 by Librarian (talk | contribs) (Created page with "{{Infobox work | title = Quality Assessment of Wikipedia Articles Without Feature Engineering | date = 2016 | authors = Quang-Vinh Dang<br />Claudia-Lavinia Ignat | is...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search
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.