arXiv · 1808.09352
Evaluating Theory of Mind in Question Answering
Abstract
We propose a new dataset for evaluating question answering models with respect to their capacity to reason about beliefs. Our tasks are inspired by theory-of-mind experiments that examine whether children are able to reason about the beliefs of others, in particular when those beliefs differ from reality. We evaluate a number of recent neural models with memory augmentation. We find that all fail on our tasks, which require keeping track of inconsistent states of the world; moreover, the models' accuracy decreases notably when random sentences are introduced to the tasks at test.
Explore related subjects
Keep this discovery
Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths. 2018-08-28. Evaluating Theory of Mind in Question Answering. https://arxiv.org/abs/1808.09352
Cite the original work for its findings. Save a collection to share your selection of sources.