Thesis (Selection of subject)Thesis (Selection of subject)(version: 368)
Thesis details
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Natural Language Generation system writing football articles
Thesis title in Czech: Automatické generování fotbalových zpráv
Thesis title in English: Natural Language Generation system writing football articles
Key words: NLG|čeština|sport|fotbal
English key words: NLG|Czech|sport|football
Academic year of topic announcement: 2021/2022
Thesis type: Bachelor's thesis
Thesis language: angličtina
Department: Institute of Formal and Applied Linguistics (32-UFAL)
Supervisor: RNDr. Jiří Hana, Ph.D.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 06.07.2022
Date of assignment: 06.07.2022
Confirmed by Study dept. on: 15.07.2022
Date and time of defence: 07.02.2023 09:00
Date of electronic submission:05.01.2023
Date of submission of printed version:05.01.2023
Date of proceeded defence: 07.02.2023
Opponents: prof. RNDr. Ing. Martin Holeňa, CSc.
 
 
 
Guidelines
The goal is to develop a rule-based NLG system automatically producing articles on football matches based on structured data.
The main focus should be content selection, document planning and microplanning. Realization can be delegated to another system.
References
Gatt, Albert and Krahmer, Emiel: Survey of the state of the art in natural language generation: Core tasks, applications and evaluation. In Journal of Artificial Intelligence Research,
2018.

Reiter, Ehud and Dale, Robert: Building applied natural language generation systems. In Natural Language Engineering, 1997.
 
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