A working, non-trivial, topically indifferent NLG System for 17 languages

Robert Weißgraeber, Andreas Madsack


Abstract
A fully fledged practical working application for a rule-based NLG system is presented that is able to create non-trivial, human sounding narrative from structured data, in any language and for any topic.
Anthology ID:
W17-3524
Volume:
Proceedings of the 10th International Conference on Natural Language Generation
Month:
September
Year:
2017
Address:
Santiago de Compostela, Spain
Venues:
INLG | WS
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
156–157
Language:
URL:
https://www.aclweb.org/anthology/W17-3524
DOI:
10.18653/v1/W17-3524
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-3524.pdf