There is another, more generic NLP engine, StanfordCoreNLP which does have more advanced CORel annotation capabilities, but it is not specifically tuned to clinical concepts and relationships. So for instance, causal relationships might be detected if expressed in standard english, but certainly not by clinical acronyms. But you might play with it just to get a sense of what is possible in the open source space.
Regards, Peter On 2/19/17, 11:31 PM, "Oleg Bogatiryov" <oleg.bogatir...@ctco.lv> wrote: >Hello to everyone. > > > >I am pleased to join the group. > > > >I am trying to extract relation from the document. > >Ideally I'd like to get the graph or tree of dependencies/relations from >the clinical documents. > > > >Could you please let me know how can I achieve it ? > > > >I am able to run CVD and RelationExtractorAggregate analysis engine but >there is no useful information > >in results that can be used in order to build a relation graph. > > > >Thanks in advance, > >Oleg. >
