Text-to-Text Pre-Training Model with Plan Selection for RDF-to-Text Generation

Natthawut Kertkeidkachorn, Hiroya Takamura


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:
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2020.webnlg-1.18.pdf
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