As AI reaches wider adoption, designing systems that are explainable and interpretable becomes a critical necessity.
A schema-guided approach to dialogue management has been shown in recent work to be effective in creating robust customizable virtual agents capable of acting as friendly peers or task assistants.
There is growing evidence that the prevalence of disagreement in the raw annotations used to construct natural language inference datasets makes the common practice of aggregating those annotations to a single label problematic.
It is essential for dialogue-based spatial reasoning systems to maintain memory of historical states of the world.
The blocks world is a classic toy domain that has long been used to build and test spatial reasoning systems.
Abstract Unscoped episodic logical form (ULF) is a semantic representation capturing the predicate-argument structure of English within the episodic logic formalism in relation to the syntactic structure, while leaving scope, word sense, and anaphora unresolved.
We address the problem of designing a conversational avatar capable of a sequence of casual conversations with older adults.