Publication | Closed Access
CSIRO Data61 at the WNUT Geo Shared Task
18
Citations
9
References
2016
Year
EngineeringGeographic Information RetrievalData ExplorationHard VotingLocalizationEnsemble MethodsSocial SciencesText MiningNatural Language ProcessingCsiro Data61Geographic Information SystemsInformation RetrievalData ScienceScientific Data ManagementData IntegrationGeographic Information SciencesSpatial Database DesignData ManagementGeographyKnowledge DiscoveryComputer ScienceGeographical Text AnalysisGeospatial SemanticsGeoinformaticsGeolocation PredictionLocation Information
In this paper, we describe CSIRO Data61’s participation in the Geolocation shared task at the Workshop for Noisy User-generated Text. Our approach was to use ensemble methods to capitalise on four component methods: heuristics based on metadata, a label propagation method, timezone text classifiers, and an information retrieval approach. The ensembles we explored focused on examining the role of language technologies in geolocation prediction and also in examining the use of hard voting and cascading ensemble methods. Based on the accuracy of city-level predictions, our systems were the best performing submissions at this year’s shared task. Furthermore, when estimating the latitude and longitude of a user, our median error distance was accurate to within 30 kilometers.
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