An Edit-centric Approach for Wikipedia Article Quality Assessment

2019/09/19 by Edison Marrese-Taylor, Marrese-Taylor, Edison, Pablo Loyola +3
Biochemistry, Genetics and Molecular Biology · Computer Science · Social Sciences · #Cancer-related gene regulation #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Wikis in Education and Collaboration

paper · pdf · doi:10.48550/arxiv.1909.08880

openalex publication_date 2019/09/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Citations

• Unsupervised Multilingual Sentence Boundary Detection
• Sequence to Sequence Learning with Neural Networks
• Distributed Representations of Sentences and Documents

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• StRE: Self Attentive Edit Quality Prediction in Wikipedia
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