Mrinmaya Sachan, Danish Contractor, et al.
CIKM 2011
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 without joint spatio-textual reasoning. To the best of our knowledge, we are the first to develop a joint QA model that combines reasoning over external geo-spatial knowledge along with textual reasoning.
Mrinmaya Sachan, Danish Contractor, et al.
CIKM 2011
Dinesh Raghu, Nikhil Gupta, et al.
Transactions of the Association for Computational Linguistics
Khoi Nguyen Tran, Jey Han Lau, et al.
EDM 2018
Baoyu Jing, Hanghang Tong, et al.
WWW 2021