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Víctor Suárez-Paniagua
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2020 – today
- 2024
- [i6]Alejo Lopez-Avila, Víctor Suárez-Paniagua:
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models. CoRR abs/2405.14437 (2024) - 2023
- [j8]Huayu Zhang, Arlene Casey, Imane Guellil, Víctor Suárez-Paniagua, Clare Macrae, Charis Marwick, Honghan Wu
, Bruce Guthrie, Beatrice Alex:
FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database. Frontiers Digit. Health 5 (2023) - [j7]Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley
Ontology-driven and weakly supervised rare disease identification from clinical notes. BMC Medical Informatics Decis. Mak. 23(1): 86 (2023) - [c12]Alejo Lopez-Avila, Víctor Suárez-Paniagua:
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models. EMNLP 2023: 2021-2032 - 2022
- [i5]Hang Dong
Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes. CoRR abs/2205.05656 (2022) - [i4]Víctor Suárez-Paniagua, Steven Derby, Tri Kurniawan Wijaya:
Multilingual News Location Detection using an Entity-Based Siamese Network with Semi-Supervised Contrastive Learning and Knowledge Base. CoRR abs/2212.11856 (2022) - 2021
- [j6]Emma M. Davidson, Michael Tin Chung Poon, Arlene Casey, Andreas Grivas, Daniel Duma, Hang Dong
The reporting quality of natural language processing studies: systematic review of studies of radiology reports. BMC Medical Imaging 21(1): 142 (2021) - [j5]Hang Dong
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation. J. Biomed. Informatics 116: 103728 (2021) - [j4]Arlene Casey, Emma M. Davidson, Michael Tin Chung Poon
A systematic review of natural language processing applied to radiology reports. BMC Medical Informatics Decis. Mak. 21(1): 179 (2021) - [c11]Víctor Suárez-Paniagua, Hang Dong, Arlene Casey:
A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports. CLEF (Working Notes) 2021: 846-856 - [c10]Hang Dong
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. EMBC 2021: 2294-2298 - [c9]Víctor Suárez-Paniagua, Arlene Casey:
BERT and Approximate String Matching for Automatic Recognition and Normalization of Professions in Spanish Medical Documents. IberLEF@SEPLN 2021: 803-813 - [i3]Arlene Casey, Emma M. Davidson, Michael Tin Chung Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex:
A Systematic Review of Natural Language Processing Applied to Radiology Reports. CoRR abs/2102.09553 (2021) - [i2]Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu:
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. CoRR abs/2105.01995 (2021) - 2020
- [i1]Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu:
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation. CoRR abs/2010.15728 (2020)
2010 – 2019
- 2019
- [j3]Víctor Suárez-Paniagua, Renzo M. Rivera Zavala
A two-stage deep learning approach for extracting entities and relationships from medical texts. J. Biomed. Informatics 99 (2019) - [c8]Víctor Suárez-Paniagua:
VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases. BioNLP-OST@EMNLP-IJNCLP 2019: 16-20 - [c7]Víctor Suárez-Paniagua:
VSP at eHealth-KD Challenge 2019: Recurrent Neural Networks for Relation Classification in Spanish eHealth Documents. IberLEF@SEPLN 2019: 95-104 - [c6]Víctor Suárez-Paniagua:
VSP at MEDDOCAN 2019 De-Identification of Medical Documents in Spanish with Recurrent Neural Networks. IberLEF@SEPLN 2019: 654-662 - 2018
- [j2]Víctor Suárez-Paniagua, Isabel Segura-Bedmar
Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction. BMC Bioinform. 19-S(8): 39-47 (2018) - [c5]Víctor Suárez-Paniagua, Isabel Segura-Bedmar
UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network. SemEval@NAACL-HLT 2018: 793-797 - [c4]Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez:
LABDA at TASS-2018 Task 3: Convolutional Neural Networks for Relation Classification in Spanish eHealth documents. TASS@SEPLN 2018: 71-76 - 2017
- [j1]Víctor Suárez-Paniagua, Isabel Segura-Bedmar
Exploring convolutional neural networks for drug-drug interaction extraction. Database J. Biol. Databases Curation 2017: bax019 (2017) - [c3]Víctor Suárez-Paniagua, Isabel Segura-Bedmar
LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network. SemEval@ACL 2017: 969-972 - 2016
- [c2]Víctor Suárez-Paniagua, Isabel Segura-Bedmar
Using Recursive Neural Networks to Detect and Classify Drug-Drug Interactions from Biomedical Texts. ECAI 2016: 1666-1667 - 2015
- [c1]Isabel Segura-Bedmar
Exploring Word Embedding for Drug Name Recognition. Louhi@EMNLP 2015: 64-72
Coauthor Index
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