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- W2952316487 abstract "This paper introduces the PhotoBook dataset, a large-scale collection of visually-grounded, task-oriented dialogues in English designed to investigate shared dialogue history accumulating during conversation. Taking inspiration from seminal work on dialogue analysis, we propose a data-collection task formulated as a collaborative game prompting two online participants to refer to images utilising both their visual context as well as previously established referring expressions. We provide a detailed description of the task setup and a thorough analysis of the 2,500 dialogues collected. To further illustrate the novel features of the dataset, we propose a baseline model for reference resolution which uses a simple method to take into account shared information accumulated in a reference chain. Our results show that this information is particularly important to resolve later descriptions and underline the need to develop more sophisticated models of common ground in dialogue interaction." @default.
- W2952316487 created "2019-06-27" @default.
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- W2952316487 date "2019-01-01" @default.
- W2952316487 modified "2023-10-02" @default.
- W2952316487 title "The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue" @default.
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- W2952316487 doi "https://doi.org/10.18653/v1/p19-1184" @default.
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