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 corpusbased 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.
CITATION STYLE
Van Der Lee, C., Krahmer, E., & Wubben, S. (2017). PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences. In INLG 2017 - 10th International Natural Language Generation Conference, Proceedings of the Conference (pp. 95–104). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-3513
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