Integrated sentence generation using charts

Alexander Koller, Nikos Engonopoulos


Abstract
Integrating surface realization and the generation of referring expressions into a single algorithm can improve the quality of the generated sentences. Existing algorithms for doing this, such as SPUD and CRISP, are search-based and can be slow or incomplete. We offer a chart-based algorithm for integrated sentence generation and demonstrate its runtime efficiency.
Anthology ID:
W17-3520
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:
139–143
Language:
URL:
https://www.aclweb.org/anthology/W17-3520
DOI:
10.18653/v1/W17-3520
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-3520.pdf