Paper: Natural Language Processing Methods for Enhancing Geographic Metadata for Phylogeography of Zoonotic Viruses

ACL ID W14-3401
Title Natural Language Processing Methods for Enhancing Geographic Metadata for Phylogeography of Zoonotic Viruses
Venue Proceedings of the BioNLP Shared Task 2013 Workshop
Session
Year 2014
Authors

Zoonotic viruses, viruses that are trans- mittable between animals and humans, represent emerging or re-emerging patho- gens that pose significant public health threats throughout the world. It is there- fore crucial to advance current surveil- lance mechanisms for these viruses through outlets such as phylogeography. Phylogeographic techniques may be ap- plied to trace the origins and geographical distribution of these viruses using se- quence and location data, which are often obtained from publicly available data- bases such as GenBank. Despite the abun- dance of zoonotic viral sequence data in GenBank records, phylogeographic anal- ysis of these viruses is greatly limited by the lack of adequate geographic metadata. Although more detailed information may often be found in the...