This year, the conference took place in Melbourne, Australia. The manuscript called “Which
Melbourne? Augmenting Geocoding with Maps”, of which he’s the first author, achieved state-of-the-art results on Location Disambiguation using the latest techniques in Deep Learning (a branch of Artificial Intelligence AI).
understanding of contextual information while providing additional evaluation (open-source) data. Milan is very grateful for the support of DREAM CDT through its generous travel fund enabling attendance of top-tier international conferences and availability of cutting-edge computational research tools.
The paper can be accessed here: https://aclanthology.info/papers/P18-1119/p18-1119. The presentation slides and source code can be found here: https://github.com/milangritta/Geocoding-with-Map-Vector/blob/master/ACL2018.pptx.