@inproceedings{976c4fcd457843fb92602e657b5abfe2,
title = "QC-GO submission for madar shared task: Arabic fine-grained dialect identification",
abstract = "This paper describes the QC-GO team submission to the MADAR Shared Task Subtask 1 (travel domain dialect identification) and Subtask 2 (Twitter user location identification). In our participation in both subtasks, we explored a number of approaches and system combinations to obtain the best performance for both tasks. These include deep neural nets and heuristics. Since individual approaches suffer from various shortcomings, the combination of different approaches was able to fill some of these gaps. Our system achieves F1-Scores of 66.1\% and 67.0\% on the development sets for Subtasks 1 and 2 respectively.",
author = "Younes Samih and Hamdy Mubarak and Ahmed Abdelali and Mohammed Attia and Mohamed Eldesouki and Kareem Darwish",
note = "Publisher Copyright: {\textcopyright} ACL 2019.All right reserved.; 4th Arabic Natural Language Processing Workshop, WANLP 2019, held at ACL 2019 ; Conference date: 01-08-2019",
year = "2019",
language = "English",
series = "ACL 2019 - 4th Arabic Natural Language Processing Workshop, WANLP 2019 - Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "290--294",
booktitle = "ACL 2019 - 4th Arabic Natural Language Processing Workshop, WANLP 2019 - Proceedings of the Workshop",
address = "United States",
}