BLAB Reporter: Automated journalism covering the Blue Amazon

Yan Sym, João Campos, Fabio Cozman


Abstract
This demo paper introduces BLAB reporter, a robot-journalist system covering the Brazilian Blue Amazon. The application is based on a pipeline architecture for Natural Language Generation, which offers daily reports, news summaries and curious facts in Brazilian Portuguese. By collecting, storing and analysing structured data from publicly available sources, the robot-journalist uses domain knowledge to generate, validate and publish texts in Twitter. Code and corpus are publicly available.
Anthology ID:
2022.inlg-demos.1
Volume:
Proceedings of the 15th International Conference on Natural Language Generation: System Demonstrations
Month:
July
Year:
2022
Address:
Waterville, Maine, USA and virtual meeting
Editors:
Samira Shaikh, Thiago Ferreira, Amanda Stent
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–3
Language:
URL:
https://aclanthology.org/2022.inlg-demos.1
DOI:
Bibkey:
Cite (ACL):
Yan Sym, João Campos, and Fabio Cozman. 2022. BLAB Reporter: Automated journalism covering the Blue Amazon. In Proceedings of the 15th International Conference on Natural Language Generation: System Demonstrations, pages 1–3, Waterville, Maine, USA and virtual meeting. Association for Computational Linguistics.
Cite (Informal):
BLAB Reporter: Automated journalism covering the Blue Amazon (Sym et al., INLG 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.inlg-demos.1.pdf
Software:
 2022.inlg-demos.1.software.zip