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Region under Discussion for visual dialog
Visual Dialog is assumed to require the dialog history to generate correct responses during a dialog.
The Impact of Answers in Referential Visual Dialog
Here we present work in progress in the study of the impact of different answering models in human generated questions in GuessWhat?!.
They Are Not All Alike: Answering Different Spatial Questions Requires Different Grounding Strategies
By analyzing LXMERT errors and its attention mechanisms, we find that our classification helps to gain a better understanding of the skills required to answer different spatial questions.
What kinds of errors do reference resolution models make and what can we learn from them?
Referring resolution is the task of identifying the referent of a natural language expression, for example “the woman behind the other woman getting a massage”.
On the role of effective and referring questions in GuessWhat?!
Regarding our first metric, we find that successful dialogues do not have a higher percentage of effective questions for most models.
Effective questions in referential visual dialogue
Task success is the standard metric used to evaluate these systems.
