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 …
Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison
The biomedical literature is growing rapidly, and the extraction of meaningful information
from the large amount of literature is increasingly important. Biomedical named entity …
from the large amount of literature is increasingly important. Biomedical named entity …
[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 …
[PDF][PDF] Overview of BioNLP'09 shared task on event extraction
The paper presents the design and implementation of the BioNLP'09 Shared Task, and
reports the final results with analysis. The shared task consists of three sub-tasks, each of …
reports the final results with analysis. The shared task consists of three sub-tasks, each of …
Literature mining for the biologist: from information retrieval to biological discovery
For the average biologist, hands-on literature mining currently means a keyword search in
PubMed. However, methods for extracting biomedical facts from the scientific literature have …
PubMed. However, methods for extracting biomedical facts from the scientific literature have …
Overview of BioCreative II gene mention recognition
L Smith, LK Tanabe, RJ Ando, CJ Kuo, IF Chung… - Genome biology, 2008 - Springer
Nineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop.
In this task participants designed systems to identify substrings in sentences corresponding …
In this task participants designed systems to identify substrings in sentences corresponding …
Overview of BioCreAtIvE: critical assessment of information extraction for biology
Background The goal of the first BioCreAtIvE challenge (Critical Assessment of Information
Extraction in Biology) was to provide a set of common evaluation tasks to assess the state of …
Extraction in Biology) was to provide a set of common evaluation tasks to assess the state of …
[HTML][HTML] Biomedical text mining and its applications in cancer research
F Zhu, P Patumcharoenpol, C Zhang, Y Yang… - Journal of biomedical …, 2013 - Elsevier
Cancer is a malignant disease that has caused millions of human deaths. Its study has a
long history of well over 100years. There have been an enormous number of publications on …
long history of well over 100years. There have been an enormous number of publications on …
CHEMDNER: The drugs and chemical names extraction challenge
Natural language processing (NLP) and text mining technologies for the chemical domain
(ChemNLP or chemical text mining) are key to improve the access and integration of …
(ChemNLP or chemical text mining) are key to improve the access and integration of …
Concept annotation in the CRAFT corpus
M Bada, M Eckert, D Evans, K Garcia, K Shipley… - BMC …, 2012 - Springer
Background Manually annotated corpora are critical for the training and evaluation of
automated methods to identify concepts in biomedical text. Results This paper presents the …
automated methods to identify concepts in biomedical text. Results This paper presents the …