Biomedical discovery through the integrative biomedical knowledge hub (iBKH)
… integrative Biomedical Knowledge Hub (iBKH) by harmonizing and integrating information
from diverse biomedical resources. To make iBKH easily accessible for biomedical research, …
from diverse biomedical resources. To make iBKH easily accessible for biomedical research, …
Utilizing BERT for biomedical and clinical text mining
… a lot of natural language processing (NLP) … library of SentencePiece. Specifically the
scientific corpuses use a randomly picked domain-specific dataset of 1.14 M papers from Semantic …
scientific corpuses use a randomly picked domain-specific dataset of 1.14 M papers from Semantic …
Thesaurus-based word embeddings for automated biomedical literature classification
DA Koutsomitropoulos, AD Andriopoulos - Neural Computing and …, 2022 - Springer
… thematically annotating biomedical resources [28]. At the same time, natural language processing
(… and secondly the semantics of the citations with a classification framework. Candidate …
(… and secondly the semantics of the citations with a classification framework. Candidate …
Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype …
… All SemRep semantic types were used and they were mapped to their respective … SemRep
[29], a natural language processing tool used to mine triples, to process the CORD-19 data …
[29], a natural language processing tool used to mine triples, to process the CORD-19 data …
Information extraction from FDA drug Labeling to enhance product-specific guidance assessment using natural language processing
… textual documents from different data resources to support an effective … a Natural Language
Processing (NLP) pipeline by integrating multiple disparate publicly available data resources …
Processing (NLP) pipeline by integrating multiple disparate publicly available data resources …
Clinical natural language processing for radiation oncology: a review and practical primer
… including linguistic features, semantic features, and features developed based on biomedical
… , and we refer readers to this framework when assessing the value of NLP technologies …
… , and we refer readers to this framework when assessing the value of NLP technologies …
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022
… , biomedical ontologies provide a formal semantics for a wide range of biomedical concepts
… how the anonymization fits within a framework that would ensure confidentiality according to …
… how the anonymization fits within a framework that would ensure confidentiality according to …
The treasury chest of text mining: piling available resources for powerful biomedical text mining
NÍ Rosário-Ferreira, C Marques-Pereira, M Pires… - BioChem, 2021 - mdpi.com
… In this scope, the focus will be mainly on natural language processing (NLP) methods, a …
structural frameworks and can have errors like improper grammar, spelling errors or semantic …
structural frameworks and can have errors like improper grammar, spelling errors or semantic …
Review of natural language processing in pharmacology
D Trajanov, V Trajkovski, M Dimitrieva, J Dobreva… - Pharmacological …, 2023 - ASPET
… terms are enhanced by their semantic types (UMLS contains 44 unique semantic types). For
… language model on the UMLS biomedical KG. They propose a metric learning framework …
… language model on the UMLS biomedical KG. They propose a metric learning framework …
Bio-SODA: enabling natural language question answering over knowledge graphs without training data
… and the Semantic Web community, with … natural language processing over knowledge
graphs of scientific datasets. In particular, we introduce Bio-SODA, a natural language processing …
graphs of scientific datasets. In particular, we introduce Bio-SODA, a natural language processing …