Named entity recognition and relation detection for biomedical information extraction
The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
PubTator central: automated concept annotation for biomedical full text articles
Abstract PubTator Central (https://www. ncbi. nlm. nih. gov/research/pubtator/) is a web
service for viewing and retrieving bioconcept annotations in full text biomedical articles …
service for viewing and retrieving bioconcept annotations in full text biomedical articles …
Building a PubMed knowledge graph
PubMed® is an essential resource for the medical domain, but useful concepts are either
difficult to extract or are ambiguous, which has significantly hindered knowledge discovery …
difficult to extract or are ambiguous, which has significantly hindered knowledge discovery …
PubTator: a web-based text mining tool for assisting biocuration
Manually curating knowledge from biomedical literature into structured databases is highly
expensive and time-consuming, making it difficult to keep pace with the rapid growth of the …
expensive and time-consuming, making it difficult to keep pace with the rapid growth of the …
tmChem: a high performance approach for chemical named entity recognition and normalization
Chemical compounds and drugs are an important class of entities in biomedical research
with great potential in a wide range of applications, including clinical medicine. Locating …
with great potential in a wide range of applications, including clinical medicine. Locating …
Community challenges in biomedical text mining over 10 years: success, failure and the future
CC Huang, Z Lu - Briefings in bioinformatics, 2016 - academic.oup.com
One effective way to improve the state of the art is through competitions. Following the
success of the Critical Assessment of protein Structure Prediction (CASP) in bioinformatics …
success of the Critical Assessment of protein Structure Prediction (CASP) in bioinformatics …
GNormPlus: an integrative approach for tagging genes, gene families, and protein domains
The automatic recognition of gene names and their associated database identifiers from
biomedical text has been widely studied in recent years, as these tasks play an important …
biomedical text has been widely studied in recent years, as these tasks play an important …
A neural named entity recognition and multi-type normalization tool for biomedical text mining
The amount of biomedical literature is vast and growing quickly, and accurate text mining
techniques could help researchers to efficiently extract useful information from the literature …
techniques could help researchers to efficiently extract useful information from the literature …
LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC
The identification and interpretation of genomic variants play a key role in the diagnosis of
genetic diseases and related research. These tasks increasingly rely on accessing relevant …
genetic diseases and related research. These tasks increasingly rely on accessing relevant …