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• W2835434549 abstract "We introduce Talk The Walk, the first large-scale dialogue dataset grounded in action and perception. The task involves two agents (a guide and a tourist) that communicate via natural language in order to achieve a common goal: having the tourist navigate to a given target location. The task and dataset, which are described in detail, are challenging and their full solution is an open problem that we pose to the community. We (i) focus on the task of tourist localization and develop the novel Masked Attention for Spatial Convolutions (MASC) mechanism that allows for grounding tourist utterances into the guide's map, (ii) show it yields significant improvements for both emergent and natural language communication, and (iii) using this method, we establish non-trivial baselines on the full task." @default.
• W2835434549 created "2018-07-19" @default.
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• W2835434549 date "2018-07-09" @default.
• W2835434549 modified "2023-09-28" @default.
• W2835434549 title "Talk the Walk: Navigating New York City through Grounded Dialogue" @default.
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• W2835434549 hasPublicationYear "2018" @default.
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