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Generating Justifications in a Spatial Question-Answering Dialogue System for a Blocks World
As AI reaches wider adoption, designing systems that are explainable and interpretable becomes a critical necessity.
Modeling Semantics and Pragmatics of Spatial Prepositions via Hierarchical Common-Sense Primitives
Understanding spatial expressions and using them appropriately is necessary for seamless and natural human-machine interaction.
History-Aware Question Answering in a Blocks World Dialogue System
It is essential for dialogue-based spatial reasoning systems to maintain memory of historical states of the world.
A Spoken Dialogue System for Spatial Question Answering in a Physical Blocks World
The blocks world is a classic toy domain that has long been used to build and test spatial reasoning systems.
Generating Discourse Inferences from Unscoped Episodic Logical Formulas
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.
Computational Models for Spatial Prepositions
However, what really matters pragmatically is not the accuracy of truth value judgments but whether, for instance, the computer models suffice for identifying objects described in terms of prepositional relations, (e. g., {``}the box to the left of the table{''}, where there are multiple boxes).
