Exploring Word Embedding for Drug Name Recognition. - Isabel Segura-Bedmar; Víctor Suárez-Paniagua; Paloma Martínez (Louhi@EMNLP, 2015)

Using Recursive Neural Networks to Detect and Classify Drug-Drug Interactions from Biomedical Texts. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar (ECAI, 2016)

LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar; Paloma Martínez (SemEval@ACL, 2017)

Exploring convolutional neural networks for drug-drug interaction extraction. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar; Paloma Martínez (Database J. Biol. Databases Curation, 2017)

UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar; Akiko Aizawa (SemEval@NAACL-HLT, 2018)

LABDA at TASS-2018 Task 3: Convolutional Neural Networks for Relation Classification in Spanish eHealth documents. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar; Paloma Martínez (TASS@SEPLN, 2018)

Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar (BMC Bioinform., 2018)

VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases. - Víctor Suárez-Paniagua (BioNLP-OST@EMNLP-IJNCLP, 2019)

VSP at eHealth-KD Challenge 2019: Recurrent Neural Networks for Relation Classification in Spanish eHealth Documents. - Víctor Suárez-Paniagua (IberLEF@SEPLN, 2019)

VSP at MEDDOCAN 2019 De-Identification of Medical Documents in Spanish with Recurrent Neural Networks. - Víctor Suárez-Paniagua (IberLEF@SEPLN, 2019)

A two-stage deep learning approach for extracting entities and relationships from medical texts. - Víctor Suárez-Paniagua; Renzo M. Rivera Zavala; Isabel Segura-Bedmar; Paloma Martínez (J. Biomed. Informatics, 2019)

A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports. - Víctor Suárez-Paniagua; Hang Dong 002; Arlene Casey (CLEF (Working Notes), 2021)

Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. - Hang Dong 002; Víctor Suárez-Paniagua; Huayu Zhang; Minhong Wang 002; Emma Whitfield; Honghan Wu (EMBC, 2021)

BERT and Approximate String Matching for Automatic Recognition and Normalization of Professions in Spanish Medical Documents. - Víctor Suárez-Paniagua; Arlene Casey (IberLEF@SEPLN, 2021)

The reporting quality of natural language processing studies: systematic review of studies of radiology reports. - Emma M. Davidson; Michael Tin Chung Poon; Arlene Casey; Andreas Grivas; Daniel Duma; Hang Dong 002; Víctor Suárez-Paniagua; Claire Grover; Richard Tobin; Heather Whalley; Honghan Wu; Beatrice Alex; et al. (BMC Medical Imaging, 2021)

Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation. - Hang Dong 002; Víctor Suárez-Paniagua; William Whiteley; Honghan Wu (J. Biomed. Informatics, 2021)

A systematic review of natural language processing applied to radiology reports. - Arlene Casey; Emma M. Davidson; Michael Tin Chung Poon; Hang Dong 002; Daniel Duma; Andreas Grivas; Claire Grover; Víctor Suárez-Paniagua; Richard Tobin; William Whiteley; Honghan Wu; Beatrice Alex (BMC Medical Informatics Decis. Mak., 2021)

Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes. - Hang Dong 002; Víctor Suárez-Paniagua; Huayu Zhang; Minhong Wang 002; Arlene Casey; Emma M. Davidson; Jiaoyan Chen 001; Beatrice Alex; William Whiteley; Honghan Wu (CoRR, 2022)

Multilingual News Location Detection using an Entity-Based Siamese Network with Semi-Supervised Contrastive Learning and Knowledge Base. - Víctor Suárez-Paniagua; Steven Derby; Tri Kurniawan Wijaya (CoRR, 2022)

Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models. - Alejo Lopez-Avila; Víctor Suárez-Paniagua (EMNLP, 2023)

FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database. - Huayu Zhang; Arlene Casey; Imane Guellil; Víctor Suárez-Paniagua; Clare Macrae; Charis Marwick; Honghan Wu; Bruce Guthrie; Beatrice Alex (Frontiers Digit. Health, 2023)

Ontology-driven and weakly supervised rare disease identification from clinical notes. - Hang Dong 002; Víctor Suárez-Paniagua; Huayu Zhang; Minhong Wang 002; Arlene Casey; Emma M. Davidson; Jiaoyan Chen 001; Beatrice Alex; William Whiteley; Honghan Wu (BMC Medical Informatics Decis. Mak., 2023)