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An Edit-centric Approach for Wikipedia Article Quality Assessment
September 19, 2019 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo
arXiv ID
1909.08880
Category
cs.CL: Computation & Language
Citations
13
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
5 months ago
Abstract
We propose an edit-centric approach to assess Wikipedia article quality as a complementary alternative to current full document-based techniques. Our model consists of a main classifier equipped with an auxiliary generative module which, for a given edit, jointly provides an estimation of its quality and generates a description in natural language. We performed an empirical study to assess the feasibility of the proposed model and its cost-effectiveness in terms of data and quality requirements.
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