Download JAR files tagged by 3363244 with all dependencies
rush from group edu.utah.bmi.nlp (version 3.0)
RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is
specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table
to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and
eliminates the effect of rule order on accuracy.
If you wish to cite RuSH in a publication, please use:
Jianlin Shi ; Danielle Mowery ; Kristina M. Doing-Harris ; John F. Hurdle.RuSH: a Rule-based Segmentation Tool
Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA Annu Symp Proc. 2016: 1587.
The full text can be found at:
https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1.3362921/2495498-1.3363244/2495498-1.3363247?timeStamp=1479743941616
This version allows defining section scopes for sentence segmentation.
Artifact rush
Group edu.utah.bmi.nlp
Version 3.0
Last update 10. February 2018
Organization The Department of Biomedical Informatics, University of Utah
URL https://github.com/jianlins/RuSH
License The Apache Software License, Version 2
Dependencies amount 3
Dependencies nlp-core, fastner, junit-repeat-rule,
There are maybe transitive dependencies!
Group edu.utah.bmi.nlp
Version 3.0
Last update 10. February 2018
Organization The Department of Biomedical Informatics, University of Utah
URL https://github.com/jianlins/RuSH
License The Apache Software License, Version 2
Dependencies amount 3
Dependencies nlp-core, fastner, junit-repeat-rule,
There are maybe transitive dependencies!
rush from group edu.utah.bmi (version 1.0)
RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is
specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table
to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and
eliminates the effect of rule order on accuracy.
If you wish to cite RuSH in a publication, please use:
Jianlin Shi ; Danielle Mowery ; Kristina M. Doing-Harris ; John F. Hurdle.RuSH: a Rule-based Segmentation Tool
Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA Annu Symp Proc. 2016: 1587.
The full text can be found at:
https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1.3362921/2495498-1.3363244/2495498-1.3363247?timeStamp=1479743941616
Artifact rush
Group edu.utah.bmi
Version 1.0
Last update 23. April 2017
Organization The Department of Biomedical Informatics, University of Utah
URL https://github.com/jianlins/RuSH
License The Apache Software License, Version 2
Dependencies amount 6
Dependencies uimaj-core, uimaj-tools, uimaj-document-annotation, uimafit-core, uimaj-examples, junit,
There are maybe transitive dependencies!
Group edu.utah.bmi
Version 1.0
Last update 23. April 2017
Organization The Department of Biomedical Informatics, University of Utah
URL https://github.com/jianlins/RuSH
License The Apache Software License, Version 2
Dependencies amount 6
Dependencies uimaj-core, uimaj-tools, uimaj-document-annotation, uimafit-core, uimaj-examples, junit,
There are maybe transitive dependencies!
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