Automatic Quality Assessment of Wikipedia Articles—A Systematic Literature Review
Wikipedia is the world's largest online encyclopedia, but maintaining article quality through
collaboration is challenging. Wikipedia designed a quality scale, but with such a manual …
collaboration is challenging. Wikipedia designed a quality scale, but with such a manual …
Is cross-linguistic advert flaw detection in Wikipedia feasible? A multilingual-BERT-based transfer learning approach
M Li, H Zhou, J Hou, P Wang, E Gao - Knowledge-Based Systems, 2022 - Elsevier
Wikipedia is one of the most prominent online platforms from which people acquire
knowledge; thus, its article quality should be of great concern. Currently, many scholars …
knowledge; thus, its article quality should be of great concern. Currently, many scholars …
A hybrid approach to classifying Wikipedia article quality flaws with feature fusion framework
P Wang, M Li, X Li, H Zhou, J Hou - Expert Systems with Applications, 2021 - Elsevier
Article quality has always been a major concern for Wikipedia. To improve article quality, it is
critical to first identify defects. Thus, flaw classification has attracted considerable attention …
critical to first identify defects. Thus, flaw classification has attracted considerable attention …
Leveraging Large Language Models and Deep Learning for Wikipedia Quality Assessment
As of 2024, Wikipedia hosts over 60 million articles across 326 language editions, growing
to approximately 1.8 million new articles annually. While traditional encyclopedias rely on …
to approximately 1.8 million new articles annually. While traditional encyclopedias rely on …
[PDF][PDF] Automatic Quality Assessment of Wikipedia Articles-A Systematic Literature
PM MOÁS, CT LOPES - rdm.inesctec.pt
This document supplements the article entitled “Automatic Quality Assessment of Wikipedia
Articles-A Systematic Literature Review”[60]. Table 1 contains the complete list of features …
Articles-A Systematic Literature Review”[60]. Table 1 contains the complete list of features …
Quality Flaws Prediction in Wikipedia by Using Deep Learning Approaches
G Capodici, G Bazán Pereyra, R Bonnin… - … )(La Rioja, 3 al 6 de …, 2023 - sedici.unlp.edu.ar
Quality flaws prediction in Wikipedia is an ongoing research trend. In particular, in this work
we tackle the problem of automatically predicting four out of the ten most frequent quality …
we tackle the problem of automatically predicting four out of the ten most frequent quality …