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

arXiv: https://arxiv.org/abs/2209.07928 · HTML: https://mlsanity.com/paper/2209.07928/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 21 of its 51 references that are in the map.
- First posted on arXiv 6 Sep 2022.

## Builds on (most cited first, 21 of 21)

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- [PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data](https://mlsanity.com/paper/2008.09144/) (2020)
- [mRAT-SQL+GAP:A Portuguese Text-to-SQL Transformer](https://mlsanity.com/paper/2110.03546/) (2021)
- [DEEPAG'E: Answering Questions in Portuguese about the Brazilian Environment](https://mlsanity.com/paper/2110.10015/) (2021)
- [Pir'a: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean](https://mlsanity.com/paper/2202.02398/) (2022)
- [PLSUM: Generating PT-BR Wikipedia by Summarizing Multiple Websites](https://mlsanity.com/paper/2112.01591/) (2021)
- [Integrating question answering and text-to-SQL in Portuguese](https://mlsanity.com/paper/2202.04048/) (2022)
- [AutoKG: Constructing Virtual Knowledge Graphs from Unstructured Documents for Question Answering](https://mlsanity.com/paper/2008.08995/) (2020)

## Abstract (arXiv)

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. The "BLue Amazon Brain" (BLAB) integrates a number of services aimed at disseminating information about this region and its importance, functioning as a tool for environmental awareness. The main service provided by BLAB is a conversational facility that deals with complex questions about the Blue Amazon, called BLAB-Chat; its central component is a controller that manages several task-oriented natural language processing modules (e.g., question answering and summarizer systems). These modules have access to an internal data lake as well as to third-party databases. A news reporter (BLAB-Reporter) and a purposely-developed wiki (BLAB-Wiki) are also part of the BLAB service architecture. In this paper, we describe our current version of BLAB's architecture (interface, backend, web services, NLP modules, and resources) and comment on the challenges we have faced so far, such as the lack of training data and the scattered state of domain information. Solving these issues presents a considerable challenge in the development of artificial intelligence for technical domains.