Abstract
In this paper, we describe the ADAPT submission to the Surface Realization Shared Task 2020. We present a neural-based system trained on the English Web Treebank and an augmented dataset, automatically created from existing text corpora.- Anthology ID:
- 2020.msr-1.3
- Volume:
- Proceedings of the Third Workshop on Multilingual Surface Realisation
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona, Spain (Online)
- Editors:
- Anya Belz, Bernd Bohnet, Thiago Castro Ferreira, Yvette Graham, Simon Mille, Leo Wanner
- Venue:
- MSR
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 30–34
- Language:
- URL:
- https://aclanthology.org/2020.msr-1.3
- DOI:
- Cite (ACL):
- Henry Elder. 2020. ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization. In Proceedings of the Third Workshop on Multilingual Surface Realisation, pages 30–34, Barcelona, Spain (Online). Association for Computational Linguistics.
- Cite (Informal):
- ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization (Elder, MSR 2020)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2020.msr-1.3.pdf