@inproceedings{rosa-teixeira-etal-2020-damata,
title = "{D}a{M}ata: A Robot-Journalist Covering the {B}razilian {A}mazon Deforestation",
author = "Rosa Teixeira, Andr{\'e} Luiz and
Campos, Jo{\~a}o and
Cunha, Rossana and
Castro Ferreira, Thiago and
Pagano, Adriana and
Cozman, Fabio",
editor = "Davis, Brian and
Graham, Yvette and
Kelleher, John and
Sripada, Yaji",
booktitle = "Proceedings of the 13th International Conference on Natural Language Generation",
month = dec,
year = "2020",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.inlg-1.15",
doi = "10.18653/v1/2020.inlg-1.15",
pages = "103--106",
abstract = "This demo paper introduces DaMata, a robot-journalist covering deforestation in the Brazilian Amazon. The robot-journalist is based on a pipeline architecture of Natural Language Generation, which yields multilingual daily and monthly reports based on the public data provided by DETER, a real-time deforestation satellite monitor developed and maintained by the Brazilian National Institute for Space Research (INPE). DaMata automatically generates reports in Brazilian Portuguese and English and publishes them on the Twitter platform. Corpus and code are publicly available.",
}
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<abstract>This demo paper introduces DaMata, a robot-journalist covering deforestation in the Brazilian Amazon. The robot-journalist is based on a pipeline architecture of Natural Language Generation, which yields multilingual daily and monthly reports based on the public data provided by DETER, a real-time deforestation satellite monitor developed and maintained by the Brazilian National Institute for Space Research (INPE). DaMata automatically generates reports in Brazilian Portuguese and English and publishes them on the Twitter platform. Corpus and code are publicly available.</abstract>
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%0 Conference Proceedings
%T DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation
%A Rosa Teixeira, André Luiz
%A Campos, João
%A Cunha, Rossana
%A Castro Ferreira, Thiago
%A Pagano, Adriana
%A Cozman, Fabio
%Y Davis, Brian
%Y Graham, Yvette
%Y Kelleher, John
%Y Sripada, Yaji
%S Proceedings of the 13th International Conference on Natural Language Generation
%D 2020
%8 December
%I Association for Computational Linguistics
%C Dublin, Ireland
%F rosa-teixeira-etal-2020-damata
%X This demo paper introduces DaMata, a robot-journalist covering deforestation in the Brazilian Amazon. The robot-journalist is based on a pipeline architecture of Natural Language Generation, which yields multilingual daily and monthly reports based on the public data provided by DETER, a real-time deforestation satellite monitor developed and maintained by the Brazilian National Institute for Space Research (INPE). DaMata automatically generates reports in Brazilian Portuguese and English and publishes them on the Twitter platform. Corpus and code are publicly available.
%R 10.18653/v1/2020.inlg-1.15
%U https://aclanthology.org/2020.inlg-1.15
%U https://doi.org/10.18653/v1/2020.inlg-1.15
%P 103-106
Markdown (Informal)
[DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation](https://aclanthology.org/2020.inlg-1.15) (Rosa Teixeira et al., INLG 2020)
ACL