Identifying Twitter Location Mentions
Bo Han, Antonio Jimeno Yepes, Andrew MacKinlay, Qiang Chen · 2014
This paper describes our system in the ALTA shared task 2014. The task is to identify location mentions in Twitter messages, such as place names and point-ofinterests (POIs). We formulated the task as a sequential labelling problem, and explored various features on top of a conditional random field (CRF) classifier. The system achieved 0.726 mean-F measure on the held-out evaluation data. We discuss our results and suggest ideas for future work on location mention recognition in social media.