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 ‹