Brazil

**BRACIS** originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence – **SBIA** (22 editions), and the Brazilian Symposium on Neural Networks – **SBRN** (13 editions). **ENIAC** is a national forum for researchers, practitioners, educators and students to present and discuss innovations, trends, experiences, developments and work in progress in the fields of Artificial and Computational Intelligence. **STIL** is the bi-annual Language Technology event.
All events are supported by the Brazilian Computer Society – Special Interest Groups: **CE-IA**, **CE-IC** and **CE-PLN**.

To access the 10th Brazilian Conference on Intelligent Systems (**BRACIS**), you need to register for the conference.  Please visit the Conference official site to register

[Register now](http://c4ai.inova.usp.br/bracis2021/)

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BRACIS 2021

Organized by C4AI, the 10th Brazilian Conference on Intelligent Systems (BRACIS) will take place from November 29th to December 3rd, 2021.

Complex Networks in Search and Optimisation

keynote

A machine learning approach to literary genre classification on Portuguese texts: circumventing NLP's standard varieties

Assessing the Impact of Stemming Algorithms Applied to Brazilian Legislative Documents Retrieval

verBERT: Automating Brazilian Case Law Document Multi-label Categorization Using BERT

Annotation Difficulties in Natural Language Inference

Evaluation of Synthetic Datasets Generation for Intent Classification Tasks in Portuguese

Tackling neural machine translation in low-resource settings: a Portuguese case study

Uma revisão breve sobre perguntas complexas em bases de conhecimento para sistemas de perguntas e respostas

Building the Next Generation Intelligent Information Systems

Transcending Dependencies

Vision-Informed Natural Language Processing

technical paper

https://assets.underline.io/transcript/28832/subtitle/98819a89262d41a788126e25d803f4f7.vtt

English (automatic)

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Complex Networks in Search and Optimisation

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A machine learning approach to literary genre classification on Portuguese texts: circumventing NLP's standard varieties

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