SYSTRAN @ WNGT 2019: DGT Task

Li Gong, Josep Crego, Jean Senellart


Abstract
This paper describes SYSTRAN participation to the Document-level Generation and Trans- lation (DGT) Shared Task of the 3rd Workshop on Neural Generation and Translation (WNGT 2019). We participate for the first time using a Transformer network enhanced with modified input embeddings and optimising an additional objective function that considers content selection. The network takes in structured data of basketball games and outputs a summary of the game in natural language.
Anthology ID:
D19-5629
Volume:
Proceedings of the 3rd Workshop on Neural Generation and Translation
Month:
November
Year:
2019
Address:
Hong Kong
Editors:
Alexandra Birch, Andrew Finch, Hiroaki Hayashi, Ioannis Konstas, Thang Luong, Graham Neubig, Yusuke Oda, Katsuhito Sudoh
Venue:
NGT
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
262–267
Language:
URL:
https://aclanthology.org/D19-5629
DOI:
10.18653/v1/D19-5629
Bibkey:
Cite (ACL):
Li Gong, Josep Crego, and Jean Senellart. 2019. SYSTRAN @ WNGT 2019: DGT Task. In Proceedings of the 3rd Workshop on Neural Generation and Translation, pages 262–267, Hong Kong. Association for Computational Linguistics.
Cite (Informal):
SYSTRAN @ WNGT 2019: DGT Task (Gong et al., NGT 2019)
Copy Citation:
PDF:
https://aclanthology.org/D19-5629.pdf