Adriana Silvina Pagano

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About

Adriana Silvina Pagano is a pioneering researcher in computational linguistics and natural language generation, with a focus on automated journalism for the Brazilian context. Her major contributions lie in developing robot journalists that transform structured public data into coherent, publishable news reports. Her most cited work, "Towards Fully Automated News Reporting in Brazilian Portuguese" (2020, 3 citations), introduces a system capable of analyzing domain data, selecting relevant content, and generating news texts on pressing societal issues like COVID-19 spread and Legal Amazon deforestation. Complementing this, her demo paper "DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation" (2020, 2 citations) presents DaMata, a multilingual robot-journalist that produces daily and monthly reports from DETER real-time deforestation data. Pagano’s work demonstrates the power of NLG pipelines to automate environmental monitoring and public information dissemination, offering scalable solutions for data-to-text reporting. Her achievements highlight the intersection of AI, journalism, and environmental science, making her a key figure in advancing automated news production for underrepresented languages and critical ecological issues.