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
Venues:
EMNLP | NGT | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
262–267
Language:
URL:
https://www.aclweb.org/anthology/D19-5629
DOI:
10.18653/v1/D19-5629
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PDF:
http://aclanthology.lst.uni-saarland.de/D19-5629.pdf