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      Ask No More:Deciding when to guess in referential visual dialogue

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          Abstract

          Our goal is to explore how the abilities brought in by a dialogue manager can be included in end-to-end visually grounded conversational agents. We make initial steps towards this general goal by augmenting a task-oriented visual dialogue model with a decision-making component that decides whether to ask a follow-up question to identify a target referent in an image, or to stop the conversation to make a guess. Our analyses show that adding a decision making component produces dialogues that are less repetitive and that include fewer unnecessary questions, thus potentially leading to more efficient and less unnatural interactions.

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          Most cited references18

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          POMDP-Based Statistical Spoken Dialog Systems: A Review

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            Visual Dialog

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              A Diversity-Promoting Objective Function for Neural Conversation Models

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                Author and article information

                Journal
                17 May 2018
                Article
                1805.06960
                7170ba64-90b0-4dac-b413-633f667d3b7d

                http://creativecommons.org/licenses/by-nc-sa/4.0/

                History
                Custom metadata
                COLING 2018 (accepted), pre-camera-ready version
                cs.CL cs.CV cs.MM

                Computer vision & Pattern recognition,Theoretical computer science,Graphics & Multimedia design

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