Annotation of Tense and Aspect Semantics for Sentential AMR

Lucia Donatelli, Michael Regan, William Croft, Nathan Schneider


Abstract
Although English grammar encodes a number of semantic contrasts with tense and aspect marking, these semantics are currently ignored by Abstract Meaning Representation (AMR) annotations. This paper extends sentence-level AMR to include a coarse-grained treatment of tense and aspect semantics. The proposed framework augments the representation of finite predications to include a four-way temporal distinction (event time before, up to, at, or after speech time) and several aspectual distinctions (including static vs. dynamic, habitual vs. episodic, and telic vs. atelic). This will enable AMR to be used for NLP tasks and applications that require sophisticated reasoning about time and event structure.
Anthology ID:
W18-4912
Volume:
Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Venues:
COLING | LAW | MWE | WS
SIGs:
SIGLEX | SIGANN
Publisher:
Association for Computational Linguistics
Note:
Pages:
96–108
Language:
URL:
https://www.aclweb.org/anthology/W18-4912
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-4912.pdf