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.
Cite
CITATION STYLE
Zhang, B., Lin, Y., Pan, X., Lu, D., May, J., Knight, K., & Ji, H. (2018). ELISA-EDL: A Cross-lingual Entity Extraction, Linking and Localization System. In NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Demonstrations Session (pp. 41–45). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/n18-5009
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
