Thiago Castro Ferreira

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About

Thiago Castro Ferreira is a leading researcher in Natural Language Generation (NLG), with a particular focus on data-to-text systems that transform structured data into coherent, multilingual narratives. His work bridges computational linguistics and real-world journalism, most notably through the development of **DaMata**, a pioneering robot-journalist that automatically generates daily and monthly reports on deforestation in the Brazilian Amazon. By processing public data from the DETER monitoring system, DaMata produces accessible, multilingual updates that support environmental transparency and journalism in Brazil. Ferreira’s contributions to NLG also include foundational work on generating varied textual outputs from semantic inputs, advancing the flexibility and expressiveness of automatic text generation systems. His research has been cited in key discussions on NLG architectures and applications, with his most influential papers—such as his 2018 overview of NLG advances and the 2020 DaMata demo—garnering attention for their practical impact. Through his work, Ferreira demonstrates how NLG can serve critical societal needs, from environmental monitoring to accessible information dissemination.