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Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue
[article]
2021
arXiv
pre-print
Building an interactive artificial intelligence that can ask questions about the real world is one of the biggest challenges for vision and language problems. In particular, goal-oriented visual dialogue, where the aim of the agent is to seek information by asking questions during a turn-taking dialogue, has been gaining scholarly attention recently. While several existing models based on the GuessWhat?! dataset have been proposed, the Questioner typically asks simple category-based questions
arXiv:2106.15550v1
fatcat:6t6mync2dzdqrpd4vb36selr7m