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

20 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

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.AI20225 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…

cs.CL202220 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.CL20203 cited

An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate

Lucas Nunes Sequeira, Bruno Moreschi, Fabio Gagliardi Cozman +1

In this research, we have established, through empirical testing, a law that relates the number of translating hops to translation accuracy in sequential machine translation in Goo…