URL details: anselmrothe.github.io/publication/2019cogsci_questions/
URL title:
Asking goal-oriented questions and learning from answers | Anselm Rothe
URL description:
Abstract The study of question asking in humans and machines has gained attention in recent years. A key aspect of question ask- ing is the ability to select good (informative) questions from a provided set. Machines —in particular neural networks— generally struggle with two important aspects of question asking, namely to learn from the answer to their selected question and to flexibly adjust their questioning to new goals. In the present paper, we show that people are sensitive to both of these aspects an
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