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arxiv 2205.09327 v1 pith:5E2YQNXG submitted 2022-05-19 cs.AI cs.CLcs.CV

Let's Talk! Striking Up Conversations via Conversational Visual Question Generation

classification cs.AI cs.CLcs.CV
keywords conversationquestionconversationsengagingframeworkgeneratesquestionsstory
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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An engaging and provocative question can open up a great conversation. In this work, we explore a novel scenario: a conversation agent views a set of the user's photos (for example, from social media platforms) and asks an engaging question to initiate a conversation with the user. The existing vision-to-question models mostly generate tedious and obvious questions, which might not be ideals conversation starters. This paper introduces a two-phase framework that first generates a visual story for the photo set and then uses the story to produce an interesting question. The human evaluation shows that our framework generates more response-provoking questions for starting conversations than other vision-to-question baselines.

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