… in clinical text where natural language processing (NLP) techniques are essential. Semantic
textual similarity (STS) that measures the semantic similarity between text snippets plays a …

… Dubai Library, which uses the electronic portal worldcat.org. The search was done on three
main keywords: Clinical, Corpus and Natural Language Processing… and semantic biomedical …

… semantic ontologies to standardise data and enhance communication across healthcare
systems. It highlights the role of semantic … a framework employing Natural Language Processing…

… In this section, we present an overview of important concepts in deep learning and natural
language processing. In particular, we cover commonly used deep learning architectures in …

… biomedical entities is also critical to understand biomedical processes. Generally, natural
language processing … US National Library of Medicine). Using these graph patterns connecting …

… biomedical data over the last few decades has led to a pressing need for a coherent framework
… To highlight some pitfalls, we have used examples from the Semantic Medline database (…

… framework and its use to characterize provenance metadata described in biomedical article.
… research: provenance metadata ontology for semantic annotation of study description. In: …

… semantic framework, called Medical Knowledge Discovery and Data Mining (MedKDD), that
aims to build a topic hierarchy and serve the semantic … on the discovery of semantic patterns …

… to present a technical framework that supports … framework that can be easily applied in
other clinical trials and clinical presentations and encourage other groups to apply the framework …

… includes work by the Semantic Scholar search engine to convert PDF documents to HTML
formats (4). Whichever process is used to obtain a suitable HTML file, before the text can be …