Reference in Team Communication for Robot-Assisted Disaster Response: An Initial Analysis

Natalia Skachkova, Ivana Kruijff-Korbayova


Abstract
We analyze reference phenomena in a corpus of robot-assisted disaster response team communication. The annotation scheme we designed for this purpose distinguishes different types of entities, roles, reference units and relations. We focus particularly on mission-relevant objects, locations and actors and also annotate a rich set of reference links, including co-reference and various other kinds of relations. We explain the categories used in our annotation, present their distribution in the corpus and discuss challenging cases.
Anthology ID:
2020.crac-1.13
Volume:
Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference
Month:
December
Year:
2020
Address:
Barcelona, Spain (online)
Editors:
Maciej Ogrodniczuk, Vincent Ng, Yulia Grishina, Sameer Pradhan
Venue:
CRAC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
122–132
Language:
URL:
https://aclanthology.org/2020.crac-1.13
DOI:
Bibkey:
Cite (ACL):
Natalia Skachkova and Ivana Kruijff-Korbayova. 2020. Reference in Team Communication for Robot-Assisted Disaster Response: An Initial Analysis. In Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, pages 122–132, Barcelona, Spain (online). Association for Computational Linguistics.
Cite (Informal):
Reference in Team Communication for Robot-Assisted Disaster Response: An Initial Analysis (Skachkova & Kruijff-Korbayova, CRAC 2020)
Copy Citation:
PDF:
https://preview.aclanthology.org/naacl24-info/2020.crac-1.13.pdf