Abstract
We report our system description for the RDFto-Text task in English on the WebNLG 2020 Challenge. Our approach consists of two parts: 1) RDF-to-Text Generation Pipeline and 2) Plan Selection. RDF-to-Text Generation Pipeline is built on the state-of-the-art pretraining model, while Plan Selection helps decide the proper plan into the pipeline.- Anthology ID:
- 2020.webnlg-1.18
- Volume:
- Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)
- Month:
- 12
- Year:
- 2020
- Address:
- Dublin, Ireland (Virtual)
- Editors:
- Thiago Castro Ferreira, Claire Gardent, Nikolai Ilinykh, Chris van der Lee, Simon Mille, Diego Moussallem, Anastasia Shimorina
- Venue:
- WebNLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 159–166
- Language:
- URL:
- https://aclanthology.org/2020.webnlg-1.18
- DOI:
- Cite (ACL):
- Natthawut Kertkeidkachorn and Hiroya Takamura. 2020. Text-to-Text Pre-Training Model with Plan Selection for RDF-to-Text Generation. In Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+), pages 159–166, Dublin, Ireland (Virtual). Association for Computational Linguistics.
- Cite (Informal):
- Text-to-Text Pre-Training Model with Plan Selection for RDF-to-Text Generation (Kertkeidkachorn & Takamura, WebNLG 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.webnlg-1.18.pdf
- Data
- DBpedia