Víctor Suárez-Paniagua

26 papers A* 1A 1Journal 14Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models. CoRR Alejo Lopez-Avila, Víctor Suárez-Paniagua
2023	A*	`conf`	Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models. EMNLP Alejo Lopez-Avila, Víctor Suárez-Paniagua
2023	J	`jnl`	FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database. Frontiers Digit. Health Huayu Zhang, Arlene Casey, Imane Guellil, Víctor Suárez-Paniagua, Clare Macrae, Charis Marwick, Honghan Wu, Bruce Guthrie, Beatrice Alex
2023	J	`jnl`	Ontology-driven and weakly supervised rare disease identification from clinical notes. BMC Medical Informatics Decis. Mak. Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu
2022	J	`jnl`	Multilingual News Location Detection using an Entity-Based Siamese Network with Semi-Supervised Contrastive Learning and Knowledge Base. CoRR Víctor Suárez-Paniagua, Steven Derby, Tri Kurniawan Wijaya
2022	J	`jnl`	Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes. CoRR Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu
2021	J	`jnl`	A Systematic Review of Natural Language Processing Applied to Radiology Reports. CoRR 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
2021	—	`conf`	A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports. CLEF (Working Notes) Víctor Suárez-Paniagua, Hang Dong, Arlene Casey
2021	J	`jnl`	A systematic review of natural language processing applied to radiology reports. BMC Medical Informatics Decis. Mak. 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
2021	—	`conf`	BERT and Approximate String Matching for Automatic Recognition and Normalization of Professions in Spanish Medical Documents. IberLEF@SEPLN Víctor Suárez-Paniagua, Arlene Casey
2021	J	`jnl`	Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation. J. Biomed. Informatics Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu
2021	—	`conf`	Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. EMBC Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu
2021	J	`jnl`	Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. CoRR Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu
2021	J	`jnl`	The reporting quality of natural language processing studies: systematic review of studies of radiology reports. BMC Medical Imaging Emma M. Davidson, Michael Tin Chung Poon, Arlene Casey, Andreas Grivas, Daniel Duma, Hang Dong, Víctor Suárez-Paniagua, Claire Grover, Richard Tobin, Heather Whalley, Honghan Wu, Beatrice Alex, William Whiteley
2020	J	`jnl`	Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation. CoRR Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu
2019	J	`jnl`	A two-stage deep learning approach for extracting entities and relationships from medical texts. J. Biomed. Informatics Víctor Suárez-Paniagua, Renzo M. Rivera Zavala, Isabel Segura-Bedmar, Paloma Martínez
2019	—	`conf`	VSP at MEDDOCAN 2019 De-Identification of Medical Documents in Spanish with Recurrent Neural Networks. IberLEF@SEPLN Víctor Suárez-Paniagua
2019	—	`conf`	VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases. BioNLP-OST@EMNLP-IJNCLP Víctor Suárez-Paniagua
2019	—	`conf`	VSP at eHealth-KD Challenge 2019: Recurrent Neural Networks for Relation Classification in Spanish eHealth Documents. IberLEF@SEPLN Víctor Suárez-Paniagua
2018	J	`jnl`	Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction. BMC Bioinform. Víctor Suárez-Paniagua, Isabel Segura-Bedmar
2018	—	`conf`	LABDA at TASS-2018 Task 3: Convolutional Neural Networks for Relation Classification in Spanish eHealth documents. TASS@SEPLN Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez
2018	—	`conf`	UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network. SemEval@NAACL-HLT Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Akiko Aizawa
2017	J	`jnl`	Exploring convolutional neural networks for drug-drug interaction extraction. Database J. Biol. Databases Curation Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez
2017	—	`conf`	LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network. SemEval@ACL Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez
2016	A	`conf`	Using Recursive Neural Networks to Detect and Classify Drug-Drug Interactions from Biomedical Texts. ECAI Víctor Suárez-Paniagua, Isabel Segura-Bedmar
2015	—	`conf`	Exploring Word Embedding for Drug Name Recognition. Louhi@EMNLP Isabel Segura-Bedmar, Víctor Suárez-Paniagua, Paloma Martínez