@inproceedings{0f0147182a4840c7be4f84f4fff08642,
title = "ELISA-EDL: A Cross-lingual Entity Extraction, Linking and Localization System",
abstract = "We demonstrate ELISA-EDL, a state-of-the-art re-trainable system to extract entity mentions from low-resource languages, link them to external English knowledge bases, and visualize locations related to disaster topics on a world heatmap. We make all of our data sets1, resources and system training and testing APIs2 publicly available for research purpose.",
author = "Boliang Zhang and Ying Lin and Xiaoman Pan and Di Lu and Jonathan May and Kevin Knight and Heng Ji",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computational Linguistics.; 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018 ; Conference date: 01-06-2018 Through 06-06-2018",
year = "2018",
language = "English (US)",
series = "NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Demonstrations Session",
publisher = "Association for Computational Linguistics (ACL)",
pages = "41--45",
booktitle = "NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics",
}