DEEPAGÉ: Answering Questions in Portuguese About the Brazilian Environment

Flávio Nakasato Cação, Marcos Menon José, André Seidel Oliveira, Stefano Spindola, Anna Helena Reali Costa, Fabio Gagliardi Cozman

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaIntelligent Systems - 10th Brazilian Conference, BRACIS 2021, Proceedings, Part 2
EditoresAndré Britto, Karina Valdivia Delgado
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas419-433
Número de páginas15
ISBN (versión impresa)9783030916985
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento10th Brazilian Conference on Intelligent Systems, BRACIS 2021 - Virtual, Online
Duración: 29 nov 20213 dic 2021

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen13074 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia10th Brazilian Conference on Intelligent Systems, BRACIS 2021
CiudadVirtual, Online
Período29/11/213/12/21

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