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Found 10 papers, 4 papers with code
Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models
Logical reasoning is central to complex human activities, such as thinking, debating, and planning; it is also a central component of many AI systems as well.
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change
By creating these baselines, researchers can more easily utilize Pir\'a as a resource for testing machine learning models across a wide range of question answering tasks.
A Physics-Informed Neural Network to Model Port Channels
In this work, our flow is governed by the Navier-Stokes equations with some approximations.
Comparing Computational Architectures for Automated Journalism
The majority of NLG systems have been designed following either a template-based or a pipeline-based architecture.
BLAB Reporter: Automated journalism covering the Blue Amazon
This demo paper introduces the BLAB Reporter, a robot-journalist covering the Brazilian Blue Amazon.
The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory
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 Amazon.
Enhancing Oceanic Variables Forecast in the Santos Channel by Estimating Model Error with Random Forests
In previous studies we have applied similar methods for current velocity in the channel entrance, in this work we expand the application to improve the SHH forecast and include four other stations in the channel.
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean
Current research in natural language processing is highly dependent on carefully produced corpora.
Measuring Unfairness through Game-Theoretic Interpretability
One often finds in the literature connections between measures of fairness and measures of feature importance employed to interpret trained classifiers.
Speeding-up ProbLog's Parameter Learning
ProbLog is a state-of-art combination of logic programming and probabilities; in particular ProbLog offers parameter learning through a variant of the EM algorithm.
