Víctor Suárez-Paniagua

According to our database1, Víctor Suárez-Paniagua authored at least 22 papers between 2015 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Ontology-driven and weakly supervised rare disease identification from clinical notes.
BMC Medical Informatics Decis. Mak., December, 2023

FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database.
Frontiers Digit. Health, May, 2023

Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Multilingual News Location Detection using an Entity-Based Siamese Network with Semi-Supervised Contrastive Learning and Knowledge Base.
CoRR, 2022

Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes.
CoRR, 2022

2021
A systematic review of natural language processing applied to radiology reports.
BMC Medical Informatics Decis. Mak., 2021

Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation.
J. Biomed. Informatics, 2021

The reporting quality of natural language processing studies: systematic review of studies of radiology reports.
BMC Medical Imaging, 2021

BERT and Approximate String Matching for Automatic Recognition and Normalization of Professions in Spanish Medical Documents.
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

Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2019
A two-stage deep learning approach for extracting entities and relationships from medical texts.
J. Biomed. Informatics, 2019

VSP at MEDDOCAN 2019 De-Identification of Medical Documents in Spanish with Recurrent Neural Networks.
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019

VSP at eHealth-KD Challenge 2019: Recurrent Neural Networks for Relation Classification in Spanish eHealth Documents.
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019

VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases.
Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019

2018
Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction.
BMC Bioinform., 2018

LABDA at TASS-2018 Task 3: Convolutional Neural Networks for Relation Classification in Spanish eHealth documents.
Proceedings of TASS 2018: Workshop on Semantic Analysis at SEPLN, 2018

UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

2017
Exploring convolutional neural networks for drug-drug interaction extraction.
Database J. Biol. Databases Curation, 2017

LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

2016
Using Recursive Neural Networks to Detect and Classify Drug-Drug Interactions from Biomedical Texts.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Exploring Word Embedding for Drug Name Recognition.
Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, 2015


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