BioN∅T: A searchable database of biomedical negated sentences
<p>Abstract</p> <p>Background</p> <p>Negated biomedical events are often ignored by text-mining applications; however, such events carry scientific significance. We report on the development of BioN∅T, a database of negated sentences that can be used to extract such neg...
Main Authors: | Agarwal Shashank, Yu Hong, Kohane Issac |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2011-10-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/12/420 |
Similar Items
-
Earthworm species, a searchable database
by: Csuzdi, Cs.
Published: (2012-07-01) -
For 481 biomedical open access journals, articles are not searchable in the Directory of Open Access Journals nor in conventional biomedical databases
by: Mads Svane Liljekvist, et al.
Published: (2015-05-01) -
Beyond captions: linking figures with abstract sentences in biomedical articles.
by: Joseph P Bockhorst, et al.
Published: (2012-01-01) -
From Bion to Delany
by: Riccardo Gramantieri
Published: (2020-10-01) -
Bíon, fr. IX
by: Alessandro Rolim de Moura
Published: (2020-03-01)