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
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
156–157
Language:
URL:
https://aclanthology.org/W17-3524
DOI:
10.18653/v1/W17-3524
Bibkey:
Cite (ACL):
Robert Weißgraeber and Andreas Madsack. 2017. A working, non-trivial, topically indifferent NLG System for 17 languages. In Proceedings of the 10th International Conference on Natural Language Generation, pages 156–157, Santiago de Compostela, Spain. Association for Computational Linguistics.
Cite (Informal):
A working, non-trivial, topically indifferent NLG System for 17 languages (Weißgraeber & Madsack, INLG 2017)
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PDF:
https://preview.aclanthology.org/author-url/W17-3524.pdf
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