The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …

Transformer-based pretrained language models (PLMs) have started a new era in modern
natural language processing (NLP). These models combine the power of transformers …

Abstract Biomedical Entity Linking (BEL) is the task of mapping of spans of text within
biomedical documents to normalized, unique identifiers within an ontology. This is an …

Accident precursors can provide valuable clues for risk assessment and risk warning.
Trends such as the main characteristics, common causes, and high-frequency types of …

Background There are significant variabilities in guideline-concordant documentation in
asthma care. However, assessing clinician's documentation is not feasible using only …

Решение общей проблемы информационного взрыва связано с системами
автоматической обработки цифровых данных, включая их распознавание, сортировку …

Design knowledge in the vast amount of design reports and documents can be an excellent
resource for designers in their practice. However, capturing such domain-specific …

Engineered systems can be characterized by the inherent uncertainties and interactions in
the system. To effectively design such engineered systems while improving the quality of …

Identifying COVID-19 informative tweets is very useful in building monitoring systems to track
the latest updates. Existing approaches to identify informative tweets rely on a large number …

Colonoscopy is a screening and diagnostic procedure for detection of colorectal carcinomas
with specific quality metrics that monitor and improve adenoma detection rates. These …