About Me
Hi, my name’s Juliana and I’m a NLP engineer. My research interests are Portuguese corpora, Fact-Checking, Question Answering Systems, and Language Generation.
I skilled in: Python, Bash, Pandas,Elasticsearch, Docker and FastAPI
Education
Federal University of Goiás
BSc Computer Science
2017 - 2011
Graduated with GPA 3.6/4.0
Participated in NLP projects focusing on providing corpora to Portuguese and benchmarking.
Thesis focused in algebraic bioinformatics on mapping mutations as operations graph and distance.
Projects
Intelligent Assistant for Monitoring Continuous Medical Care for Chronic Patient
2021 - 2022
Information Retrieval in common health question answering pipeline.
Training and validation of Portuguese IR and answer generation models for QA pipelines. Deployment and validation of QA pipeline.
Development of an Intelligent Assistant for the Copel Holding Shared Services Center
2020 - 2021
Development of chatbot intent modules.
Application of data techniques in real world data. Training and validation of chatbot AI modules.
Application of Machine Learning Techniques and Corpus Linguistics in Portuguese
2020 - 2020
Corpora automatic translation to Brazilian Portuguese.
Multi-Tasking Deep Neural Networks in Portuguese
2019 - 2020
Multitasking architecture employment for NLU Portuguese Tasks.
Benchmarking of Multitasking BERT models Analysis of Translation impact on data.
Experience
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Development NLP core in the company product.
Training, validation and deployment of AI modules.
Centro de Excelência em Inteligência Artificial (CEIA)
NLP researcher
January 2020 - Present
https://embrapii.org.br/en/unidades/embrapii-unit-in-artificial-intelligence-ceia-ufg-center-of-excellence-in-artificial-intelligence/
Researcher in various AI projects as NLU member.
Honour
DepSign - Depression from Social Media Text
1st place
2023
DepSign-LT-EDI@RANLP-2023 aims to detect the signs of depression of a person from their social media postings wherein people share their feelings and emotions.
ABSAPT - Aspect-Based Sentiment Analysis in Portuguese
1st place
2022
Aspect-Based Sentiment Analysis in Portuguese, first shared task dedicated to identify aspects and extract the polarity in texts written in Portuguese. This task was part of IberLEF 2022.
A Little More About Me
Alongside my interests in NLP engineering some of my other interests and hobbies are:
- 🏃♀️ Running (5-10 km)
- 🧗♀️ Rock climbing (indoor)
- 🧩 Puzzles (1K piece)
- 🎲 Board Games