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
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/W17-3520.pdf