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Software . 2022
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Software . 2022
License: http://opensource.org/licenses/MIT
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Software . 2022
License: https://opensource.org/licenses/MIT
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lorcanpd/adorNER: First release

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 18 Nov 2022Publisher:ZenodoFunded by:UKRI | The Norwich Research Park...
Authors: Pigott-Dix, Lorcán;
Code repository: https://github.com/lorcanpd/adorNER/tree/v1.0.0

doi: 10.5281/zenodo.7373101 , 10.5281/zenodo.7373100

lorcanpd/adorNER: First release

Abstract

adorNER is a deep-learning-based tool for ontology term identification in text. Takes multiple OBO ontologies as training inputs, and outputs a model for identifying terms.

Related Organizations
Keywords

python, tensorflow, concept recognition, named entity recognition, deep learning, ontology

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average