Richard Adolph Aires Jonker

Orcid: 0000-0002-3806-6940

According to our database1, Richard Adolph Aires Jonker authored at least 12 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Multi-head CRF classifier for biomedical multi-class named entity recognition on Spanish clinical notes.
Database J. Biol. Databases Curation, January, 2024

The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII.
Database J. Biol. Databases Curation, January, 2024

Towards discovery: an end-to-end system for uncovering novel biomedical relations.
Database J. Biol. Databases Curation, January, 2024

Analyzing a Decade of Evolution: Trends in Natural Language Processing.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2024

BIT.UA at MultiCardioNER: Adapting a Multi-head CRF for Cardiology.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

BIT.UA at BioASQ 12: From Retrieval to Answer Generation.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

HealthDBFinder: a question-answering task for health database discovery.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023
DyPrune: Dynamic Pruning Rates for Neural Networks.
Proceedings of the Progress in Artificial Intelligence, 2023

BIT.UA at MedProcNer: Discovering Medical Procedures in Spanish Using Transformer Models with MCRF and Augmentation.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

BIT.UA at BioASQ 11B: Two-Stage IR with Synthetic Training and Zero-Shot Answer Generation.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
Portuguese Twitter Dataset on COVID-19.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Using Natural Language Processing for Phishing Detection.
Proceedings of the Optimization, Learning Algorithms and Applications, 2021


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