Global trends in infectious diseases of swine
Pork accounts for more than one-third of meat produced worldwide and is an important
component of global food security, agricultural economies, and trade. Infectious diseases …
component of global food security, agricultural economies, and trade. Infectious diseases …
Learning from co-expression networks: possibilities and challenges
Plants are fascinating and complex organisms. A comprehensive understanding of the
organization, function and evolution of plant genes is essential to disentangle important …
organization, function and evolution of plant genes is essential to disentangle important …
[HTML][HTML] BioCreative V CDR task corpus: a resource for chemical disease relation extraction
J Li, Y Sun, RJ Johnson, D Sciaky, CH Wei… - Database, 2016 - academic.oup.com
Community-run, formal evaluations and manually annotated text corpora are critically
important for advancing biomedical text-mining research. Recently in BioCreative V, a new …
important for advancing biomedical text-mining research. Recently in BioCreative V, a new …
Fine-tuning large neural language models for biomedical natural language processing
Large neural language models have transformed modern natural language processing
(NLP) applications. However, fine-tuning such models for specific tasks remains challenging …
(NLP) applications. However, fine-tuning such models for specific tasks remains challenging …
[HTML][HTML] NCBI disease corpus: a resource for disease name recognition and concept normalization
Abstract Information encoded in natural language in biomedical literature publications is
only useful if efficient and reliable ways of accessing and analyzing that information are …
only useful if efficient and reliable ways of accessing and analyzing that information are …
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 …
DNorm: disease name normalization with pairwise learning to rank
Motivation: Despite the central role of diseases in biomedical research, there have been
much fewer attempts to automatically determine which diseases are mentioned in a text …
much fewer attempts to automatically determine which diseases are mentioned in a text …
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 …