@InProceedings{jayasinghe-EtAl:2016:WNUT,
  author    = {Jayasinghe, Gaya  and  Jin, Brian  and  Mchugh, James  and  Robinson, Bella  and  Wan, Stephen},
  title     = {CSIRO Data61 at the WNUT Geo Shared Task},
  booktitle = {Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {218--226},
  abstract  = {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.},
  url       = {http://aclweb.org/anthology/W16-3929}
}