Search Results for author:
Found 10 papers, 2 papers with code
Dialogue Design and Management for Multi-Session Casual Conversation with Older Adults
We address the problem of designing a conversational avatar capable of a sequence of casual conversations with older adults.
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.
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.
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.
Natural Language Inference with Mixed Effects
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.
A Flexible Schema-Guided Dialogue Management Framework: From Friendly Peer to Virtual Standardized Cancer Patient
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.
Get the gist? Using large language models for few-shot decontextualization
In many NLP applications that involve interpreting sentences within a rich context -- for instance, information retrieval systems or dialogue systems -- it is desirable to be able to preserve the sentence in a form that can be readily understood without context, for later reuse -- a process known as ``decontextualization''.
We are what we repeatedly do: Inducing and deploying habitual schemas in persona-based responses
We capture such habitual knowledge using an explicit schema representation, and propose an approach to dialogue generation that retrieves relevant schemas to condition a large language model to generate persona-based responses.
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.
A System For Robot Concept Learning Through Situated Dialogue
We evaluate the system by comparing learning efficiency to a human baseline in a collaborative reference resolution task and show that the system is effective and efficient in learning new concepts, and that it can informatively generate explanations about its behavior.
