DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation

André Luiz Rosa Teixeira, João Campos, Rossana Cunha, Thiago Castro Ferreira, Adriana Pagano, Fabio Cozman


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.
Anthology ID:
2020.inlg-1.15
Volume:
Proceedings of the 13th International Conference on Natural Language Generation
Month:
December
Year:
2020
Address:
Dublin, Ireland
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
103–106
Language:
URL:
https://aclanthology.org/2020.inlg-1.15
DOI:
Bibkey:
Cite (ACL):
André Luiz Rosa Teixeira, João Campos, Rossana Cunha, Thiago Castro Ferreira, Adriana Pagano, and Fabio Cozman. 2020. DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation. In Proceedings of the 13th International Conference on Natural Language Generation, pages 103–106, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation (Rosa Teixeira et al., INLG 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.inlg-1.15.pdf
Code
 botsdobem/demo_inpe_covid