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
- Editors:
- Agata Savary, Carlos Ramisch, Jena D. Hwang, Nathan Schneider, Melanie Andresen, Sameer Pradhan, Miriam R. L. Petruck
- Venues:
- LAW | MWE
- SIGs:
- SIGLEX | SIGANN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 96–108
- Language:
- URL:
- https://aclanthology.org/W18-4912
- DOI:
- Cite (ACL):
- Lucia Donatelli, Michael Regan, William Croft, and Nathan Schneider. 2018. Annotation of Tense and Aspect Semantics for Sentential AMR. In Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), pages 96–108, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
- Cite (Informal):
- Annotation of Tense and Aspect Semantics for Sentential AMR (Donatelli et al., LAW-MWE 2018)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/W18-4912.pdf