@inproceedings{leppanen-toivonen-2021-baseline,
title = "A Baseline Document Planning Method for Automated Journalism",
author = {Lepp{\"a}nen, Leo and
Toivonen, Hannu},
booktitle = "Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)",
month = may # " 31--2 " # jun,
year = "2021",
address = "Reykjavik, Iceland (Online)",
publisher = {Link{\"o}ping University Electronic Press, Sweden},
url = "https://aclanthology.org/2021.nodalida-main.11",
pages = "101--111",
abstract = "In this work, we present a method for content selection and document planning for automated news and report generation from structured statistical data such as that offered by the European Union{'}s statistical agency, EuroStat. The method is driven by the data and is highly topic-independent within the statistical dataset domain. As our approach is not based on machine learning, it is suitable for introducing news automation to the wide variety of domains where no training data is available. As such, it is suitable as a low-cost (in terms of implementation effort) baseline for document structuring prior to introduction of domain-specific knowledge.",
}
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<abstract>In this work, we present a method for content selection and document planning for automated news and report generation from structured statistical data such as that offered by the European Union’s statistical agency, EuroStat. The method is driven by the data and is highly topic-independent within the statistical dataset domain. As our approach is not based on machine learning, it is suitable for introducing news automation to the wide variety of domains where no training data is available. As such, it is suitable as a low-cost (in terms of implementation effort) baseline for document structuring prior to introduction of domain-specific knowledge.</abstract>
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%0 Conference Proceedings
%T A Baseline Document Planning Method for Automated Journalism
%A Leppänen, Leo
%A Toivonen, Hannu
%S Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
%D 2021
%8 may" 31–2 "jun
%I Linköping University Electronic Press, Sweden
%C Reykjavik, Iceland (Online)
%F leppanen-toivonen-2021-baseline
%X In this work, we present a method for content selection and document planning for automated news and report generation from structured statistical data such as that offered by the European Union’s statistical agency, EuroStat. The method is driven by the data and is highly topic-independent within the statistical dataset domain. As our approach is not based on machine learning, it is suitable for introducing news automation to the wide variety of domains where no training data is available. As such, it is suitable as a low-cost (in terms of implementation effort) baseline for document structuring prior to introduction of domain-specific knowledge.
%U https://aclanthology.org/2021.nodalida-main.11
%P 101-111
Markdown (Informal)
[A Baseline Document Planning Method for Automated Journalism](https://aclanthology.org/2021.nodalida-main.11) (Leppänen & Toivonen, NoDaLiDa 2021)
ACL