… and practices of natural language processing and text mining of … of natural language
processing for materials, including data compilation, hypothesis development, and understanding …

… semantic types. MDQ built their system using the UIMA 64 framework with Lucene indexing.
Candidate CUIs were retrieved via dictionary lookup. Candidates were ranked using ML. …

… automated methods that enable access to FH data through natural language processing. …
task data set from the National Natural Language Processing Clinical Challenges (N2C2), …

… framework used in BERT to train KM-BERT for medical … Finally, we acquired the Korean
medical semantic textual … into Korean using the Python library of Google Machine Translation. …

… unstructured clinical data such as discharge summaries, progress reports and nursing notes
can be analyzed by natural language processing (NLP) for different purposes. Physiological …

… Here, we present a framework employing natural language processing, which automates
text and image comprehension and precision knowledge extraction from inorganic glasses’ …

… Natural language processing systems can be evaluated using various metrics, some of
which are familiar to those in medicine and biomedical research. Three commonly used metrics …

… biomedical text analysis. Citation12 One advantage of word embeddings is that it discovers
the semantic … phrase embeddings Citation11 to discover the associations between phrases …

… for data interoperability and the development of natural language processing (NLP) techniques.
For … about biomedical entities, their synonyms, semantic types and mutual relationships. …

… For the publication retrieval phase, we coordinated with a reference librarian at the FDA
Library … Bio-LarK Concept Recognizer A semantic concept retrieval system that can process …