[u' @inproceedings{sixto_enable_2013, address = {Coventry, UK}, title = {Enable tweet-geolocation and don\u2019t drive {ERTs} crazy! {Improving} situational awareness using {Twitter}}, volume = {1}, abstract = {When traditional communication services are down during an emergency event, Twitter has proven to provide first-hand information to emergency response teams. The lack of geotagged tweets complicates these teams labour when trying to pin-point the events on a map. A rapid identification of situational awareness on incidents may help reduce the number of casualties and damages thanks to an efficient management. In this paper, we present a new approach to improve geolocation accuracy in Twitter posts, relying on NLP techniques and online geolocation APIs, providing the most trusted event location from a Twitter stream.}, author = {Sixto, Juan and Pe\xf1a, Oscar and Klein, Bernhard and Lopez-de-Ipina, Diego}, month = apr, year = {2013}, keywords = {Artificial Intelligence, Geolocation, Natural language processing, Situation awareness, Twitter, machine learning, sabess}, pages = {27--31}, } ']