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

Robert Weißgraeber; Andreas Madsack

doi:10.18653/v1/W17-3524

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

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
Bib Export formats:: BibTeX MODS XML EndNote
PDF:: http://aclanthology.lst.uni-saarland.de/W17-3524.pdf

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