AQMAR

AQMAR (American and Qatari Modeling of Arabic) is a joint project at Carnegie Mellon University's Language Technologies Institute and Computer Science Department. The goal of the project is to improve the state-of-the-art in natural language processing tools for Arabic as it is found on the web.

Project Personnel

Supersense Tagging for Arabic: the MT-in-the-Middle Attack. Nathan Schneider, Behrang Mohit, Chris Dyer, Kemal Oflazer, and Noah A. Smith. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2013), Atlanta, GA, June 2013.
Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study. Nathan Schneider, Behrang Mohit, Kemal Oflazer, and Noah A. Smith. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012), Jeju, South Korea, July 2012.
Recall-Oriented Learning of Named Entities in Arabic Wikipedia. Behrang Mohit, Nathan Schneider, Rishav Bhowmick, Kemal Oflazer, and Noah A. Smith. In Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012), Avignon, France, April 2012. Also available: appendix.
Turbo Parsers: Dependency Parsing by Approximate Variational Inference. André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, and Mário A. T. Figueiredo. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2010), Cambridge, MA, October 2010.

This project is supported by Qatar National Research Fund grant NPRP 08-485-1-083.