Hi Greg,

Ok, that gives me a great vector toward addressing your needs.

I don't know of any ctakes components that indicate whether or not discovered 
concepts come from acronyms, abbreviations or -replete- text mentions.

There should be something that does that.   Open source ---->  Any champions 
available?

Right now no abbreviation or metonym information is provided in the standard 
components.    If it can be extruded from source then it should be provided.

If anybody has such a component, please let us know !   This is a formidable 
(imio) nlp problem, so call your kudos with a solution!

Sean
 
________________________________________
From: Greg Silverman <g...@umn.edu>
Sent: Wednesday, May 15, 2019 9:21 PM
To: dev@ctakes.apache.org
Subject: Re: acronyms/abbreviations [EXTERNAL]

I'm just wondering how acronyms are identified as acronyms in cTAKES (for
example, in MetaMap, there is an attribute in the Document annotation with
ids of where they are in the Utterance annotation; and in BioMedICUS, there
is an acronym annotation type, etc.). From examining the XMI CAS, it is not
obvious.

We're extracting the desired annotations from the XMI CAS using a custom
Groovy client.

Thanks!

On Wed, May 15, 2019 at 7:43 PM Finan, Sean <
sean.fi...@childrens.harvard.edu> wrote:

> Hi Greg,
>
> What exactly do you need ?
>
> There are a lot of output components that can produce different formats
> containing various types of information.
>
> Do you prefer to parse ml ?  Or is columnized text output ok?  Does this
> go to a post-processing engine or a human user?
>
> Thanks,
>
> Sean
> ________________________________________
> From: Greg Silverman <g...@umn.edu>
> Sent: Wednesday, May 15, 2019 7:09 PM
> To: dev@ctakes.apache.org
> Subject: acronyms/abbreviations [EXTERNAL]
>
> How can I get these from the XMI annotations?
>
> Thanks!
>
> Greg--
>
> --
> Greg M. Silverman
> Senior Systems Developer
> NLP/IE <
> https://urldefense.proofpoint.com/v2/url?u=https-3A__healthinformatics.umn.edu_research_nlpie-2Dgroup&d=DwIFaQ&c=qS4goWBT7poplM69zy_3xhKwEW14JZMSdioCoppxeFU&r=fs67GvlGZstTpyIisCYNYmQCP6r0bcpKGd4f7d4gTao&m=Fj9pHse59o_GfrCnR_sqZ7ibEmMju2GDRj6hmEg5s9U&s=taqRUWLVp4l5699x1GSXNfIK6WkZXiAgKnA3CPmlfWk&e=
> >
> University of Minnesota
> g...@umn.edu
>
>  ›  evaluate-it.org  ‹
>


--
Greg M. Silverman
Senior Systems Developer
NLP/IE 
<https://urldefense.proofpoint.com/v2/url?u=https-3A__healthinformatics.umn.edu_research_nlpie-2Dgroup&d=DwIFaQ&c=qS4goWBT7poplM69zy_3xhKwEW14JZMSdioCoppxeFU&r=fs67GvlGZstTpyIisCYNYmQCP6r0bcpKGd4f7d4gTao&m=DSQkibRULBYY2ijgCfGWGPmrKD7gdrLjBbvnTbXozsA&s=pTRmMExWf-ju3IjLOdTelulzu0JW399BumarcAx5tRw&e=>
University of Minnesota
g...@umn.edu

 ›  evaluate-it.org  ‹

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