DaMata: a robot-journalist covering the Brazilian Amazon deforestation

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dc.creatorAndré Teixeira
dc.creatorJoão Gabriel Moura Campos
dc.creatorRossana Cunha
dc.creatorThiago Castro Ferreira
dc.creatorAdriana Silvina Pagano
dc.creatorFabio Cozman
dc.date.accessioned2024-03-21T18:57:54Z
dc.date.accessioned2025-09-08T23:12:00Z
dc.date.available2024-03-21T18:57:54Z
dc.date.issued2020-10-18
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.18653/v1/2020.inlg-1.15
dc.identifier.isbn9781952148545
dc.identifier.urihttps://hdl.handle.net/1843/66343
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational Conference on Natural Language Generation
dc.rightsAcesso Aberto
dc.subjectLinguística - Processamento de dados
dc.subjectProcessamento da linguagem natural (Computação)
dc.titleDaMata: a robot-journalist covering the Brazilian Amazon deforestation
dc.typeArtigo de evento
local.citation.epage106
local.citation.issue13
local.citation.spage103
local.description.resumoThis 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.
local.identifier.orcidhttps://orcid.org/0000-0003-4077-4935
local.identifier.orcidhttps://orcid.org/0000-0002-3150-3503
local.identifier.orcidhttps://orcid.org/0000-0003-0200-3646
local.identifier.orcidhttps://orcid.org/0000-0003-4440-8123
local.identifier.orcidhttps://orcid.org/0000-0002-1106-3694
local.publisher.countryBrasil
local.publisher.departmentFALE - FACULDADE DE LETRAS
local.publisher.initialsUFMG

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