Browsing Computer Science - Undergraduate degree by Author "Côrtes, Eduardo Gabriel"
Now showing items 1-10 of 10
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Uma análise das opiniões de usuários do Twitter sobre vacinas utilizando técnicas de aprendizado de máquina
Hallberg, Artur Galvão (2021) [Work completion of graduation]Vacinas são uma técnica antiga, conhecida e utilizada há mais de 200 anos. No entanto, é provável que a chegada da pandemia COVID-19 tenha polarizado o debate público em torno dessa tecnologia a um nível nunca antes visto. ... -
An experiment environment for question answering research
Carmelo, Maurício Biasi do Monte (2022) [Work completion of graduation]Building tests and experiments for Question Answering (QA) tends to be a hardworking task due to the fact that a lot of time is spent in the production of repeated code and tasks that could be automated. For example, there ... -
Comparativo de técnicas de geração de linguagem natural para a tarefa de long-form question answering
Silva, Gabriel Pakulski da (2022) [Work completion of graduation]A área de processamento de linguagem natural vem ganhando destaque principalmente pelos avanços em técnicas baseadas em aprendizado de máquina e Transformers, que conseguem lidar facilmente com dependências textuais de ... -
A comparison of machine learning approaches for predicting ClaimReview markup attributes from fact-checking websites
Amantea, Rafael Pinheiro (2021) [Work completion of graduation]The spreading of fake news is a reality within modern times. However, in the daily fight against disinformation, the fact-checking agencies are one of the strongest allies. Some techniques have been in place to help in ... -
Empirical evaluation on approaches to transform tabular data into textual input for QA systems
Bartz, Cassiano Marques (2022) [Work completion of graduation]Question answering (QA) systems aim to automatically and precisely answer a specific question provided in natural language over a knowledge base. Although there are models that already work well with regular textual knowledge ... -
Um estudo utilizando-se de análise de sentimentos e aprendizado de máquina para a classificação de tweets sobre a vacinação no Brasil
Martins, Gabriel Fonseca (2022) [Work completion of graduation]Devido a atual situação de COVID-19 no mundo, cientistas e profissionais da área de saúde precisaram elaborar, criar, testar e lançar em tempo recorde uma vacina para tentar controlar a pandemia. E desde sempre a vacinação ... -
Extraction of entities and relations in Portuguese from the Second HAREM Golden Collection
Silva, Nicolas Eymael da (2021) [Work completion of graduation]Information Extraction is an essential process for automatically building a Knowledge Graph, a type of knowledge base that represents knowledge through semantic connections and has been gaining focus in recent years. Two ... -
Fairness in machine learning : an empirical experiment about protected features and their implications
Guntzel, Maurício Holler (2022) [Work completion of graduation]Increasingly, machine learning models perform high-stakes decisions in almost any do main. These models and the datasets - they are trained on– may be prone to exacerbating social disparities due to unmitigated fairness ... -
Predicting the performance of countries in managing the COVID-19 pandemic using WVS data
Nunes, Ruan Leitão (2021) [Work completion of graduation]With the huge and sad impact that COVID-19 caused in everyone’s lives, it is important to reason about the context that led to such several fatalities and the different impacts suffered by different countries. The more ... -
Study of a deep learning approach to named entity recognition for portuguese
Rosa, Felipe Bueno da (2018) [Work completion of graduation]This work aims to advance the state-of-the-art in named entity recognition for the Portuguese language using deep learning. It proposes the addition of part-of-speech tagging to a system composed of a bidirectional LSTM ...