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arXiv:1909.08880cs.CL

An Edit-centric Approach for Wikipedia Article Quality Assessment

Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo

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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.

arXiv comments
Accepted at the W-NUT Workshop, EMNLP 2019
Journal reference
DOI
Subjects
cs.CLComputation and Language

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