  Our goal is to answer real-world tourism questions that seek
Points-of-Interest (POI) recommendations. Such questions express various kinds
of spatial and non-spatial constraints, necessitating a combination of textual
and spatial reasoning. In response, we develop the first joint spatio-textual
reasoning model, which combines geo-spatial knowledge with information in
textual corpora to answer questions. We first develop a modular
spatial-reasoning network that uses geo-coordinates of location names mentioned
in a question, and of candidate answer POIs, to reason over only spatial
constraints. We then combine our spatial-reasoner with a textual reasoner in a
joint model and present experiments on a real world POI recommendation task. We
report substantial improvements over existing models with-out joint
spatio-textual reasoning.
