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
Editors:
Jose M. Alonso, Alberto Bugarín, Ehud Reiter
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
139–143
Language:
URL:
https://aclanthology.org/W17-3520
DOI:
10.18653/v1/W17-3520
Bibkey:
Cite (ACL):
Alexander Koller and Nikos Engonopoulos. 2017. Integrated sentence generation using charts. In Proceedings of the 10th International Conference on Natural Language Generation, pages 139–143, Santiago de Compostela, Spain. Association for Computational Linguistics.
Cite (Informal):
Integrated sentence generation using charts (Koller & Engonopoulos, INLG 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/W17-3520.pdf