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        <title>Template-free Data-to-Text Generation of Finnish Sports News</title>
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        <namePart type="given">Jenna</namePart>
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        <namePart type="given">Samuel</namePart>
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            <title>Proceedings of the 22nd Nordic Conference on Computational Linguistics</title>
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            <namePart type="given">Mareike</namePart>
            <namePart type="family">Hartmann</namePart>
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    <abstract>News articles such as sports game reports are often thought to closely follow the underlying game statistics, but in practice they contain a notable amount of background knowledge, interpretation, insight into the game, and quotes that are not present in the official statistics. This poses a challenge for automated data-to-text news generation with real-world news corpora as training data. We report on the development of a corpus of Finnish ice hockey news, edited to be suitable for training of end-to-end news generation methods, as well as demonstrate generation of text, which was judged by journalists to be relatively close to a viable product. The new dataset and system source code are available for research purposes.</abstract>
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        <url>https://aclanthology.org/W19-6125</url>
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        <date>2019-sep–oct</date>
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%0 Conference Proceedings
%T Template-free Data-to-Text Generation of Finnish Sports News
%A Kanerva, Jenna
%A Rönnqvist, Samuel
%A Kekki, Riina
%A Salakoski, Tapio
%A Ginter, Filip
%Y Hartmann, Mareike
%Y Plank, Barbara
%S Proceedings of the 22nd Nordic Conference on Computational Linguistics
%D 2019
%8 sep–oct
%I Linköping University Electronic Press
%C Turku, Finland
%F kanerva-etal-2019-template
%X News articles such as sports game reports are often thought to closely follow the underlying game statistics, but in practice they contain a notable amount of background knowledge, interpretation, insight into the game, and quotes that are not present in the official statistics. This poses a challenge for automated data-to-text news generation with real-world news corpora as training data. We report on the development of a corpus of Finnish ice hockey news, edited to be suitable for training of end-to-end news generation methods, as well as demonstrate generation of text, which was judged by journalists to be relatively close to a viable product. The new dataset and system source code are available for research purposes.
%U https://aclanthology.org/W19-6125
%P 242-252

Markdown (Informal)

[Template-free Data-to-Text Generation of Finnish Sports News](https://aclanthology.org/W19-6125) (Kanerva et al., NoDaLiDa 2019)

• Template-free Data-to-Text Generation of Finnish Sports News (Kanerva et al., NoDaLiDa 2019)

ACL

• Jenna Kanerva, Samuel Rönnqvist, Riina Kekki, Tapio Salakoski, and Filip Ginter. 2019. Template-free Data-to-Text Generation of Finnish Sports News. In Proceedings of the 22nd Nordic Conference on Computational Linguistics, pages 242–252, Turku, Finland. Linköping University Electronic Press.