Elisa Terumi Rubel Schneider

Orcid: 0000-0002-8921-5598

Affiliations:
  • Federal University of Paraná, Curitiba, PR, Brazil


According to our database1, Elisa Terumi Rubel Schneider authored at least 10 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
BioNestedNER: A Hybrid Language Model Approach for Recognizing Nested, Discontinuous, and Multi-Type Named Entities.
J. Braz. Comput. Soc., 2026

2025
Enhancing Privacy in Clinical Texts: A New Approach to De-Identification of Brazilian Clinical Narratives.
Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

MedGemma-Sum-Pt: A Lightweight Model for Portuguese Clinical Summarization.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

2023
CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

2021
PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation Extraction.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021

A GPT-2 Language Model for Biomedical Texts in Portuguese.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Experiments on Portuguese Clinical Question Answering.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2016
ProClaT, a new bioinformatics tool for in silico protein reclassification: case study of DraB, a protein coded from the draTGB operon in Azospirillum brasilense.
BMC Bioinform., 2016


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