Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Abstract The coronavirus disease 2019 (COVID-19) pandemic has been severely impacting
global society since December 2019. The related findings such as vaccine and drug …
global society since December 2019. The related findings such as vaccine and drug …
[HTML][HTML] Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation
Background Diagnostic or procedural coding of clinical notes aims to derive a coded
summary of disease-related information about patients. Such coding is usually done …
summary of disease-related information about patients. Such coding is usually done …
Discriminative multi-label feature selection with adaptive graph diffusion
J Ma, F Xu, X Rong - Pattern Recognition, 2024 - Elsevier
Feature selection can alleviate the problem of the curse of dimensionality by selecting more
discriminative features, which plays an important role in multi-label learning. Recently …
discriminative features, which plays an important role in multi-label learning. Recently …
An unsupervised annotation of Arabic texts using multi-label topic modeling and genetic algorithm
HA Almuzaini, AM Azmi - Expert Systems with Applications, 2022 - Elsevier
Every day the world produces an enormous amount of textual data. This unstructured text is
of little use unless it is labeled using a combination of categories, keywords, tags. Humans …
of little use unless it is labeled using a combination of categories, keywords, tags. Humans …
Fusing external knowledge resources for natural language understanding techniques: A survey
Abstract Knowledge resources, eg knowledge graphs, which formally represent essential
semantics and information for logic inference and reasoning, can compensate for the …
semantics and information for logic inference and reasoning, can compensate for the …
[PDF][PDF] Hierarchical Text Classification: a review of current research
A Zangari, M Marcuzzo, M Schiavinato… - EXPERT SYSTEMS …, 2023 - iris.unive.it
It is often the case that collections of documents are annotated with hierarchically-structured
concepts. However, the benefits of this structure are rarely taken into account by …
concepts. However, the benefits of this structure are rarely taken into account by …
JLAN: medical code prediction via joint learning attention networks and denoising mechanism
Background Clinical notes are documents that contain detailed information about the health
status of patients. Medical codes generally accompany them. However, the manual …
status of patients. Medical codes generally accompany them. However, the manual …
Zero-shot text classification with knowledge resources under label-fully-unseen setting
Classification techniques are at the heart of many real-world applications, eg sentiment
analysis, recommender systems and automatic text annotation, to process and analyse large …
analysis, recommender systems and automatic text annotation, to process and analyse large …
Multi‐label logo recognition and retrieval based on weighted fusion of neural features
M Bernabeu, AJ Gallego, A Pertusa - Expert Systems, 2024 - Wiley Online Library
Classifying logo images is a challenging task as they contain elements such as text or
shapes that can represent anything from known objects to abstract shapes. While the current …
shapes that can represent anything from known objects to abstract shapes. While the current …
Generalised zero-shot learning for entailment-based text classification with external knowledge
Text classification techniques have been substantially important to many smart computing
applications, eg topic extraction and event detection. However, classification is always …
applications, eg topic extraction and event detection. However, classification is always …