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20202025
most citedPirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean

20 citations · 52 across the 17 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

physics.flu-dyn2022

A Physics-Informed Neural Network to Model Port Channels

Marlon S. Mathias, Marcel R. de Barros, Jefferson F. Coelho +8

We describe a Physics-Informed Neural Network (PINN) that simulates the flow induced by the astronomical tide in a synthetic port channel, with dimensions based on the Santos - São…

cs.CL2022

BLAB Reporter: Automated journalism covering the Blue Amazon

Yan V. Sym, João Gabriel M. Campos, Fabio G. Cozman

This demo paper introduces the BLAB Reporter, a robot-journalist covering the Brazilian Blue Amazon. The Reporter is based on a pipeline architecture for Natural Language Generatio…

cs.CL2022

Comparing Computational Architectures for Automated Journalism

Yan V. Sym, João Gabriel M. Campos, Marcos M. José +1

The majority of NLG systems have been designed following either a template-based or a pipeline-based architecture. Recent neural models for data-to-text generation have been propos…

cs.AI2022★ 5 cited

The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory

Paulo Pirozelli, Ais B. R. Castro, Ana Luiza C. de Oliveira +19

We describe the first steps in the development of an artificial agent focused on the Brazilian maritime territory, a large region within the South Atlantic also known as the Blue A…

physics.ao-ph2022

Enhancing Oceanic Variables Forecast in the Santos Channel by Estimating Model Error with Random Forests

Felipe M. Moreno, Caio F. D. Netto, Marcel R. de Barros +9

In this work we improve forecasting of Sea Surface Height (SSH) and current velocity (speed and direction) in oceanic scenarios. We do so by resorting to Random Forests so as to pr…

cs.LG2022★ 5 cited

Modeling Oceanic Variables with Dynamic Graph Neural Networks

Caio F. D. Netto, Marcel R. de Barros, Jefferson F. Coelho +8

Researchers typically resort to numerical methods to understand and predict ocean dynamics, a key task in mastering environmental phenomena. Such methods may not be suitable in sce…

cs.CL2022★ 20 cited

Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean

André F. A. Paschoal, Paulo Pirozelli, Valdinei Freire +8

Current research in natural language processing is highly dependent on carefully produced corpora. Most existing resources focus on English; some resources focus on languages such…

cs.CL2022★ 6 cited

Integrating question answering and text-to-SQL in Portuguese

Marcos Menon José, Marcelo Archanjo José, Denis Deratani Mauá +1

Deep learning transformers have drastically improved systems that automatically answer questions in natural language. However, different questions demand different answering techni…