Abstract
This work addresses coreference resolution in Abstract Meaning Representation (AMR) graphs, a popular formalism for semantic parsing. We evaluate several current coreference resolution techniques on a recently published AMR coreference corpus, establishing baselines for future work. We also demonstrate that coreference resolution can improve the accuracy of a state-of-the-art semantic parser on this corpus.- Anthology ID:
- 2020.crac-1.4
- Volume:
- Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona, Spain (online)
- Venue:
- CRAC
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 33–38
- Language:
- URL:
- https://aclanthology.org/2020.crac-1.4
- DOI:
- Cite (ACL):
- Tatiana Anikina, Alexander Koller, and Michael Roth. 2020. Predicting Coreference in Abstract Meaning Representations. In Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, pages 33–38, Barcelona, Spain (online). Association for Computational Linguistics.
- Cite (Informal):
- Predicting Coreference in Abstract Meaning Representations (Anikina et al., CRAC 2020)
- PDF:
- https://preview.aclanthology.org/starsem-semeval-split/2020.crac-1.4.pdf