“Arabic Wikipedia into Named Entity Taxonomy” is a dataset consists of 4000 of Arabic Wikipedia articles that classified into coarse-grained NE taxonomy. This dataset can be used in document classification tasks in relation to NER.
To use this corpus, please cite the following publication:
F. Alotaibi and M. Lee, "Mapping Arabic Wikipedia into the Named Entities Taxonomy", In Proceedings of COLING 2012: Posters, p43-52, IIT, Mumbai, India, December 8-15. 2012.
Author URL:
http://www.cs.bham.ac.uk/~fsa081/index.html
http://fsalotaibi.kau.edu.sa
Email:
fsalotaibi {AT} kau.edu.sa
fsa081 {AT} cs.bham.ac.uk
Follow Arabic Wikipedia into Named Entity
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Arabic Wikipedia into Named Entity!