Abstract
This paper presents a new dataset with Discourse Representation Structures (DRSs) annotated over naturally-occurring sentences. Importantly, these sentences are more varied in length and on average longer than those in the existing gold-standard DRS dataset, the Parallel Meaning Bank, and we show that they are therefore much harder for parsers. We argue, though, that this provides a more realistic assessment of the difficulties of DRS parsing.- Anthology ID:
- 2023.dmr-1.9
- Volume:
- Proceedings of the Fourth International Workshop on Designing Meaning Representations
- Month:
- June
- Year:
- 2023
- Address:
- Nancy, France
- Editors:
- Julia Bonn, Nianwen Xue
- Venues:
- DMR | WS
- SIG:
- SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 89–98
- Language:
- URL:
- https://aclanthology.org/2023.dmr-1.9
- DOI:
- Cite (ACL):
- Dag Haug, Jamie Yates Findlay, and Ahmet Yildirim. 2023. The long and the short of it: DRASTIC, a semantically annotated dataset containing sentences of more natural length. In Proceedings of the Fourth International Workshop on Designing Meaning Representations, pages 89–98, Nancy, France. Association for Computational Linguistics.
- Cite (Informal):
- The long and the short of it: DRASTIC, a semantically annotated dataset containing sentences of more natural length (Haug et al., DMR-WS 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2023.dmr-1.9.pdf