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.
Cite
CITATION STYLE
Teixeira, A. L. R., Campos, J. G. M., Cunha, R., Ferreira, T. C., Pagano, A. S., & Cozman, F. G. (2020). DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation. In INLG 2020 - 13th International Conference on Natural Language Generation, Proceedings (pp. 103–106). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2020.inlg-1.15
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