ELISA-EDL: A Cross-lingual Entity Extraction, Linking and Localization System. Zhang, B., Lin, Y., Pan, X., Lu, D., May, J., Knight, K., & Ji, H. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pages 41–45, New Orleans, Louisiana, June, 2018. Association for Computational Linguistics. ![ELISA-EDL: A Cross-lingual Entity Extraction, Linking and Localization System [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex 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 sets, resources and system training and testing APIs publicly available for research purpose.
@InProceedings{zhang-EtAl:2018:N18-5,
author = {Zhang, Boliang and Lin, Ying and Pan, Xiaoman and Lu, Di and May, Jonathan and Knight, Kevin and Ji, Heng},
title = {ELISA-EDL: A Cross-lingual Entity Extraction, Linking and Localization System},
booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations},
month = {June},
year = {2018},
address = {New Orleans, Louisiana},
publisher = {Association for Computational Linguistics},
pages = {41--45},
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 sets, resources and system training and testing APIs publicly available for research purpose.},
url = {http://www.aclweb.org/anthology/N18-5009}
}
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