28 citations · 28 across the 2 of their papers we have counts for
4 papers
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
Early detection of relevant locations in a piece of news is especially important in extreme events such as environmental disasters, war conflicts, disease outbreaks, or political t…
Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical Notes
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang +7
Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes. Rare diseases are challenging to be identified due to…
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang +3
The identification of rare diseases from clinical notes with Natural Language Processing (NLP) is challenging due to the few cases available for machine learning and the need of da…
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation
Hang Dong, Víctor Suárez-Paniagua, William Whiteley +1
Diagnostic or procedural coding of clinical notes aims to derive a coded summary of disease-related information about patients. Such coding is usually done manually in hospitals bu…