PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences

Chris van der Lee, Emiel Krahmer, Sander Wubben


Abstract
We present PASS, a data-to-text system that generates Dutch soccer reports from match statistics. One of the novel elements of PASS is the fact that the system produces corpus-based texts tailored towards fans of one club or the other, which can most prominently be observed in the tone of voice used in the reports. Furthermore, the system is open source and uses a modular design, which makes it relatively easy for people to add extensions. Human-based evaluation shows that people are generally positive towards PASS in regards to its clarity and fluency, and that the tailoring is accurately recognized in most cases.
Anthology ID:
W17-3513
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:
95–104
Language:
URL:
https://aclanthology.org/W17-3513
DOI:
10.18653/v1/W17-3513
Bibkey:
Cite (ACL):
Chris van der Lee, Emiel Krahmer, and Sander Wubben. 2017. PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences. In Proceedings of the 10th International Conference on Natural Language Generation, pages 95–104, Santiago de Compostela, Spain. Association for Computational Linguistics.
Cite (Informal):
PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences (van der Lee et al., INLG 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-3513.pdf