TY - GEN
T1 - DEEPAGÉ
T2 - 10th Brazilian Conference on Intelligent Systems, BRACIS 2021
AU - Cação, Flávio Nakasato
AU - José, Marcos Menon
AU - Oliveira, André Seidel
AU - Spindola, Stefano
AU - Costa, Anna Helena Reali
AU - Cozman, Fabio Gagliardi
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - The challenge of climate change and biome conservation is one of the most pressing issues of our time—particularly in Brazil, where key environmental reserves are located. Given the availability of large textual databases on ecological themes, it is natural to resort to question answering (QA) systems to increase social awareness and understanding about these topics. In this work, we introduce multiple QA systems that combine in novel ways the BM25 algorithm, a sparse retrieval technique, with PTT5, a pre-trained state-of-the-art language model. Our QA systems focus on the Portuguese language, thus offering resources not found elsewhere in the literature. As training data, we collected questions from open-domain datasets, as well as content from the Portuguese Wikipedia and news from the press. We thus contribute with innovative architectures and novel applications, attaining an F1-score of 36.2 with our best model.
AB - The challenge of climate change and biome conservation is one of the most pressing issues of our time—particularly in Brazil, where key environmental reserves are located. Given the availability of large textual databases on ecological themes, it is natural to resort to question answering (QA) systems to increase social awareness and understanding about these topics. In this work, we introduce multiple QA systems that combine in novel ways the BM25 algorithm, a sparse retrieval technique, with PTT5, a pre-trained state-of-the-art language model. Our QA systems focus on the Portuguese language, thus offering resources not found elsewhere in the literature. As training data, we collected questions from open-domain datasets, as well as content from the Portuguese Wikipedia and news from the press. We thus contribute with innovative architectures and novel applications, attaining an F1-score of 36.2 with our best model.
KW - Environment in Brazil
KW - Natural language processing in Portuguese
KW - Question answering
UR - http://www.scopus.com/inward/record.url?scp=85121831066&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-91699-2_29
DO - 10.1007/978-3-030-91699-2_29
M3 - Contribución a la conferencia
AN - SCOPUS:85121831066
SN - 9783030916985
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 419
EP - 433
BT - Intelligent Systems - 10th Brazilian Conference, BRACIS 2021, Proceedings, Part 2
A2 - Britto, André
A2 - Valdivia Delgado, Karina
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 29 November 2021 through 3 December 2021
ER -
