A Two-Level Interpretation of Modality in Human-Robot Dialogue
Lucia Donatelli, Kenneth Lai, James Pustejovsky
Abstract
We analyze the use and interpretation of modal expressions in a corpus of situated human-robot dialogue and ask how to effectively represent these expressions for automatic learning. We present a two-level annotation scheme for modality that captures both content and intent, integrating a logic-based, semantic representation and a task-oriented, pragmatic representation that maps to our robot’s capabilities. Data from our annotation task reveals that the interpretation of modal expressions in human-robot dialogue is quite diverse, yet highly constrained by the physical environment and asymmetrical speaker/addressee relationship. We sketch a formal model of human-robot common ground in which modality can be grounded and dynamically interpreted.
BibTeX
@inproceedings{donatelli-etal-2020-two,
title = "A Two-Level Interpretation of Modality in Human-Robot Dialogue",
author = "Donatelli, Lucia and
Lai, Kenneth and
Pustejovsky, James",
editor = "Scott, Donia and
Bel, Nuria and
Zong, Chengqing",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2020.coling-main.373/",
doi = "10.18653/v1/2020.coling-main.373",
pages = "4222--4238"
}