CLIP Talk - Thiago de Paulo Faleiros
CLIP Talk - Thiago de Paulo Faleiros
DODFMiner: An Automated Tool for Named Entity Recognition from Brazilian Official Gazettes
Abstract: This presentation provides an overview of my research journey, starting with an introduction to my academic background. The second part of the presentation focuses on exploring KnEDLe project. The project "KnEDLe - Knowledge Extraction from Documents of Legal Content" (http://nido.unb.br/) was proposed to employ official publications as a research object and extract knowledge. The objective was to develop intelligent tools for extracting structured information from official publications, aiming to facilitate the search and retrieval of information, increase government transparency, facilitate audit tasks, and detect problems related to the use of public resources. We proposed DODFMiner, an automated tool for Named Entity Recognition from Official Gazettes. The computational challenges and solutions implemented in the DODFMiner tool will be presented. In conclusion of the presentation, I would like to talk about perspectives and proposals for new research collaborations.
Bio: Thiago de Paulo Faleiros is an Assistant Professor in the Department of Computer Science at the University of Brasília and coordinated the KnEDLe project. He earned their Bachelor's degree in Computer Science in 2007 and their Master's degree in 2011. He received his Ph.D. in Computer Science from the Institute of Mathematical Sciences and Computing at the University of São Paulo in 2016. Their primary research interests focus on machine learning, natural language processing, and graph mining.