ORES/Scholarship
< ORES
 Warning: | The ORES infrastructure is being deprecated by the Machine Learning team, please check wikitech:ORES for more info. |
This is a catalog of papers studying ORES, using ORES data, or upon which ORES is based.
- Dang, Q. V. (June 2016). "Quality assessment of Wikipedia articles without feature engineering". 2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL): 27–30.
- Dang, Quang Vinh (November 2016). "Quality Assessment of Wikipedia Articles: A Deep Learning Approach by Quang Vinh Dang and Claudia-Lavinia Ignat with Martin Vesely As Coordinator". SIGWEB Newsl. (Autumn): 5:1–5:6. doi:. ISSN 1931-1745.
- "An end-to-end learning solution for assessing the quality of Wikipedia articles" https://hal.inria.fr/hal-01559693v3/document
- Warncke-Wang, Morten (2013). "Tell Me More: An Actionable Quality Model for Wikipedia". Proceedings of the 9th International Symposium on Open Collaboration: 8:1–8:10. New York, NY, USA: ACM. doi:.
- "Measuring Quality of Collaboratively Edited Documents: The Case of Wikipedia" http://ieeexplore.ieee.org/abstract/document/7809715/
- "Interpolating quality dynamics in Wikipedia and demonstrating the Keilana Effect" https://meta.wikimedia.org/wiki/Research:Interpolating_quality_dynamics_in_Wikipedia_and_demonstrating_the_Keilana_Effect
- Sarabadani, Amir (2017). "Building Automated Vandalism Detection Tools for Wikidata". Proceedings of the 26th International Conference on World Wide Web Companion: 1647–1654. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi:.
- "Identifying Semantic Edit Intentions from Revisions in Wikipedia" http://www.cs.cmu.edu/~diyiy/docs/emnlp17.pdf
- [Unsure if ORES-related?] Heindorf, Stefan (2016). "Vandalism Detection in Wikidata". Proceedings of the 25th ACM International on Conference on Information and Knowledge Management: 327–336. New York, NY, USA: ACM. doi:.
- [Unsure] Shadbolt, N. (April 2016). "The rise of social machines: The development of a human/digital ecosystem". IEEE Consumer Electronics Magazine 5 (2): 106–111. doi:. ISSN 2162-2248.
- [Unsure] "Wikiconflits : un corpus de discussions éditoriales conflictuelles du Wikipédia francophone" https://hal.archives-ouvertes.fr/hal-01485427/