# An Edit-centric Approach for Wikipedia Article Quality Assessment

arXiv: https://arxiv.org/abs/1909.08880 · HTML: https://mlsanity.com/paper/1909.08880/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Sep 2019.

## Built on by (most cited first, 3 of 3)

- [Learning to Model Editing Processes](https://mlsanity.com/paper/2205.12374/) (2022)
- [Automated scholarly paper review: Concepts, technologies, and challenges](https://mlsanity.com/paper/2111.07533/) (2021)
- [Automatic Quality Assessment of Wikipedia Articles -- A Systematic Literature Review](https://mlsanity.com/paper/2310.02235/) (2023)

## Abstract (arXiv)

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.