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We introduce "Talk The Walk", the first large-scale dialogue dataset groundedin action and perception. The task involves two agents (a "guide" and a"tourist") that communicate via natural language in order to achieve a commongoal: having the tourist navigate to a given target location. The task anddataset, which are described in detail, are challenging and their full solutionis an open problem that we pose to the community. We (i) focus on the task oftourist localization and develop the novel Masked Attention for SpatialConvolutions (MASC) mechanism that allows for grounding tourist utterances intothe guide's map, (ii) show it yields significant improvements for both emergentand natural language communication, and (iii) using this method, we establishnon-trivial baselines on the full task.

Talk the Walk: Navigating New York City through Grounded Dialogue