This paper describes a schema that enriches Abstract Meaning Representation (AMR) in order to provide a semantic representation for facilitating Natural Language Understanding …
A Mannekote - arXiv preprint arXiv:2307.09021, 2023 - arxiv.org
Dialogue-based human-AI collaboration can revolutionize collaborative problem-solving, creative exploration, and social support. To realize this goal, the development of automated …
F Gervits, D Thurston, R Thielstrom, T Fong, Q Pham… - Aamas, 2020 - hrilab.tufts.edu
Robots are uniquely suited to performing dull, dirty, or dangerous tasks that can complement and enhance the work that humans do. As a result, they are increasingly needed to serve as …
CN Bonial, L Donatelli, J Ervin… - Proceedings of the …, 2019 - scholarworks.umass.edu
In this research, we begin to tackle the challenge of natural language understanding (NLU) in the context of the development of a robot dialogue system. We explore the adequacy of …
M Marge, S Nogar, CJ Hayes, SM Lukin… - arXiv preprint arXiv …, 2019 - arxiv.org
This paper presents a research platform that supports spoken dialogue interaction with multiple robots. The demonstration showcases our crafted MultiBot testing scenario in which …
A Hartholt, S Mozgai - The Handbook on Socially Interactive Agents: 20 …, 2022 - dl.acm.org
Developing a Socially Interactive Agent (SIA) with the goal of simulating complex human behavior in all of its intricacies and nuances is a daunting undertaking. It requires not only in …
The demand for multimodal dialogue systems has been rising in various domains, emphasizing the importance of interpreting multimodal inputs from conversational and …
We present a dialogue system based on statistical classification which was used to automate human-robot dialogue in a collaborative navigation domain. The classifier was …
Prior work in natural-language-driven navigation demonstrates success in systems deployed in synthetic environments or applied to large datasets, both real and synthetic …