Spatial AMR: Expanded Spatial Annotation in the Context of a Grounded Minecraft Corpus

Julia Bonn, Martha Palmer, Zheng Cai, Kristin Wright-Bettner


Abstract
This paper presents an expansion to the Abstract Meaning Representation (AMR) annotation schema that captures fine-grained semantically and pragmatically derived spatial information in grounded corpora. We describe a new lexical category conceptualization and set of spatial annotation tools built in the context of a multimodal corpus consisting of 170 3D structure-building dialogues between a human architect and human builder in Minecraft. Minecraft provides a particularly beneficial spatial relation-elicitation environment because it automatically tracks locations and orientations of objects and avatars in the space according to an absolute Cartesian coordinate system. Through a two-step process of sentence-level and document-level annotation designed to capture implicit information, we leverage these coordinates and bearings in the AMRs in combination with spatial framework annotation to ground the spatial language in the dialogues to absolute space.
Anthology ID:
2020.lrec-1.601
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
COLING | LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
4883–4892
Language:
English
URL:
https://www.aclweb.org/anthology/2020.lrec-1.601
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.lrec-1.601.pdf