Hi Sean

I'm asking my team's manager to see if we can present.  I work as Architect
/ cTakes Implementer with a team at the UCSF Bakar Institute for
computational health sciences.

Peter

On Mon, Jul 6, 2020 at 6:20 AM Finan, Sean <sean.fi...@childrens.harvard.edu>
wrote:

> I can't believe that I forgot to mention ...
>
>
> There will also be a presentation (maybe two?) by a group that has adapted
> ctakes to work with two other languages.  They have also integrated ctakes
> with other tools such as FreeLing and HeidelTime.  So cool ...
>
>
> Cheers,
>
> Sean
>
>
> ________________________________
> From: Finan, Sean
> Sent: Monday, July 6, 2020 9:08 AM
> To: dev@ctakes.apache.org; u...@ctakes.apache.org
> Subject: ApacheCon 2020
>
>
> Hi all,
>
>
> The ctakes representation at ApacheCon 2020 is looking good!​
>
>
> ApacheCon 2020 runs September 29 through October 1.
>
> Submission runs through Sunday, July 12.  Technically it is 8:00 a.m.
> Eastern time Monday, but please don't procrastinate.
>
> Registration is free.
>
>
> I am excited to announce that we have three groups interested in giving
> presentations on their configuration and use of ctakes at a large scale!
>
> We also have a presentation on the installation of the ctakes Rest service
> using the ctakes-rest module!
>
>
> Knowledge on these topics is always extremely valuable to our users, and I
> for one really want to see how sites use ctakes when given different
> resources, requirements and restrictions.  Because of that, I am trying to
> put together (technology allowing) a roundtable discussion with those
> presenters.  That should be of value to every user no matter what your
> situation.
>
>
> We still need more presentations!  To encourage you, here is a little
> information:
>
>
> 1.  What you do is interesting!  If you think that nobody out there cares
> about what you've done and how, then you probably aren't fully aware of how
> large and diverse our user base really is.  People want to know about
> things like integration, customization, clinical specialty application,
> augmentation and favorite capability fascination.
>
> 2.  Submission is very simple.  This is not like a scientific conference
> that requires a complete paper describing your work.  You only need to
> submit a blurb that loosely covers your topic and major talking point(s).
> Half a dozen sentences will suffice.  In fact, what I sent last week (far
> below) could pass muster for a submission.  Go for something that will be
> on a brochure / schedule.
>
> 3.  The audience is made up of people just like you.  Developers,
> Bioinformaticians, IT Specialists, Students, Medical Researchers, AI
> Explorers and far more Hackers than Rock Stars.
>
> 4.  Slick presentation skills are not necessary.  Don't worry if you have
> never spoken to a room full of listeners.  Don't worry if English isn't
> your first language.  Don't worry if your slides are "sloppy".  Your
> presentation will not be graded.
>
> 5.  You don't need to prepare your whole talk before submitting.    Idea
> now, details later.
>
> 6.  Registration is FREE.
>
>
> Right now the speaking time is anything up to 50 minutes.  If you don't
> want to present a full 50 minutes then that is ok ... The rest can be
> filled with extra question/answer or somebody else may fill the remaining
> time with a presentation on a similar topic.
>
>
> I am going to put together a lightning round.  If you think that you can
> cover some material in five to fifteen minutes then this is for you!
> Lightning rounds can be fun as you can make an impact with two or three
> slides and barely enough speaking to run out of breath.  This is really a
> free-for-all.  You can pack the time with data, give a short demonstration,
> compare using ctakes to breaking a mustang, or even do some on-topic
> (ctakes, nlp, AI, bioinformatics) stand up.  Anything goes.  This was an
> interesting (full) talk last year:
> https://aceu19.apachecon.com/session/confessions-middle-aged-coder-turned-gravel-grinder.
>  If you want to be in the lightning round, just write me a couple of
> sentences on your strike and I will put together the full submission for
> ApacheCon.  Does it get any easier?
>
>
> I will present one or two things, but to maximize impact I would like to
> know what most interests / would help all of you.  So, please write me a
> topic or two that would best apply to your work.
>
>
> Some links ...
>
>
> ApacheCon Home Page:  https://www.apachecon.com/
>
> ApacheCon Registration: https://hopin.to/events/apachecon-home
>
> ApacheCon Submission:  https://acna2020.jamhosted.net/cfp.html
>
>
> Lastly, so that we don't crash a server, I would like to have a rough head
> count for attendance estimation.  If you think that you will watch any
> presentation of ctakes then please send me ( seanfi...@apache.org ) an
> email with the subject "Attend" and "+1" in the body.
>
>
> Cheers,
>
> Sean
>
>
> ________________________________
> From: Finan, Sean
> Sent: Monday, June 29, 2020 11:02 AM
> To: dev@ctakes.apache.org
> Subject: ApacheCon 2020
>
>
> Hi all,
>
>
> General admission to ApacheCon 2020 is free:
> https://hopin.to/events/apachecon-home
>
>
> I think that price of admission and travel costs have held back ctakes
> users from attending past conferences, and lack of a sizable audience has
> diminished the comparative value of ctakes presentations in the eyes of
> ApacheCon planners.  Because of the "at home" nature of this year's
> conference, an app with smaller presence and less hip buzz has a better
> chance of grabbing some time on the schedule.
>
>
> The predetermined tracks are still an ill fit when it comes to the nature
> of ctakes.  https://apachecon.com/acah2020/cfp.html
>
> However, I think that we can still use this opportunity to deliver some
> powerful introduction and training videos, as well as user stories and
> clinical project application.  Perhaps we can argue for a NLP track and do
> some coordination with projects like OpenNLP and UIMA.
>
>
> There are a scant two weeks to come up with presentations, and less time
> to propose a track/topic.  The call for presentations ends July 13th.  That
> is a deadline that requires immediate attention by anybody who wants to
> show off their project or expertise.
>
>
> Apache wants to have a single point of contact for each project, and I am
> volunteering to be that person for ctakes.   I am volunteering, not laying
> claim, so if you think that you are a better fit for the position please
> let me know.
>
>
> I have written some ideas for presentations below.  If you want to take
> one (modify as you like) then please write me and post to the devlist.  If
> you have ideas for another presentation topic, please let me and the
> devlist know - even if you aren't volunteering to do the presentation
> yourself perhaps somebody else will.    Again ... two weeks.​
>
>
> Thank you,
>
> Sean
>
>
>
> *  The following talk ideas are by and large directed toward training.
> That does not mean that topics should stay within that scope.
>
>
> =================================================================
>
>
> Customizing cTAKES: First Principles
>
> Built using Apache UIMA, cTAKES is modular and extensible.  Why is it
> frequently treated as a black box?  Is it lack of need, sparsity of
> resources, or simply fear of the unknown?
>
> This is a quick start tutorial on adding custom elements to cTAKES.  We
> illustrate creating simple classes to input, process and output data.  This
> involves a concise overview of Apache uimaFIT and the cTAKES type system,
> as well as building a UIMA pipeline using piper files.
>
>
> =================================================================
>
>
> Loading a shippable with cTAKES DockHand
>
> Customizing a simple pipeline need not be left to cTAKES experts.  Making
> a cTAKES installation need not be confined to source code checkouts or
> lengthy multi-stage binary downloads.
>
> We introduce cTAKES DockHand, a compact single-file installation tool that
> allows one to construct custom pipelines as well as local installations,
> Rest Services and Dockerfiles.
>
>
> ==================================================================
>
>
> Secret Engines of cTAKES
>
> The cTAKES default natural language processing pipeline is a standard in
> the clinical research community.  What is past that standard?  While the
> default clinical pipeline uses almost 20 engines, there are dozens more in
> various cTAKES modules.
>
> We present and discuss the top 10 annotation engines you never knew you
> had.
>
>
> ====================================================
>
>
> Does cTAKES Know "The Best Words"?
>
> Named Entity Recognition is at the core of all complete natural language
> processing tools.  Out of the box cTAKES uses a dictionary containing part
> of the Unified Medical Language System (UMLS) that covers most common
> clinical terms.  But it also comes with a custom dictionary creator.
>
> If you think that your clinical research is directed, then you should
> probably have a directed dictionary.  UMLS subsets, non-english
> dictionaries and novel custom dictionaries have all been successfully used
> with cTAKES.
>
> This is an overview of cTAKES named entity recognition with the essential
> what, why and how of custom dictionaries as the centerpiece.
>
>
> ====================================================
>
> Academic Software: Performance or Performance?
>
> A conundrum faced by all academic software projects is how to make the
> best of a small amount of resources.  Clinical natural language processing
> projects that use cTAKES are not exempt, and balancing accuracy of results
> against speed of processing often becomes central when it is time to put
> things into production (or just please the boss).
>
> More than a history of cTAKES and its evolutionary efforts in precision,
> speed and usability, this presentation contains examples of how to best
> utilize each aspect.
>
>
> ================================================================
>
>
> Diet cTAKES
>
> One reason cTAKES is a popular framework in clinical natural language
> processing tools is its use of Apache Maven for project management.
> Navigating cTAKES dependencies can be difficult, leading to a common
> practice of consuming the whole project.  Much of what ends up in your
> system may lead to unnecessary bloat.
>
> Going piecemeal through the values and weights of cTAKES modules and
> resources, this presentation will assist any cTAKES user in trimming
> project bulk from gigabytes to megabytes.
>
>
> ================================================================
>
>
> cTAKES Saved my Life
>
> The title is inappropriate when it comes to healthcare in practice.
> However, I used Apache cTAKES for my clinical research project on ________,
> and its [versatile / comprehensive / speedy / ?] nature was important in
> completing things [on time /  accurately / ?].
>
> We share our real-world experiences with using cTAKES, discuss why we
> chose it, issues we faced and how we overcame unexpected problems.
>
>
> ================================================================
>
>
> Large-scale cTAKES, an Installation Story
>
> At our _____ facility, we needed to process _____ [patients / notes / term
> lists / ?] on a ______ system.
>
> We present a real-world application of cTAKES on a large scale, our needs
> for _____ input and ____ output.  We compare and contrast cTAKES with other
> [clinical] NLP platforms that we tried and explain why we chose [it /
> another] in the end.
>
> We will also share the novel [techniques / code / integration] that we
> used for the success of our installation.
>
>
> ================================================================
>
>
> My Engine is Faster than Yours
>
> We have created a cTAKES annotation engine that performs the task of
> _____.   This is [newer / faster / more comprehensive] than existing
> engines in [cTAKES / other].
>
> We will present [numbers , usage , capabilities / i/o ] of the engine and
> its [model / data ].
> We will also commit the code and documentation to Apache cTAKES.
>
>
> ================================================================
>
>
> cTAKES on the Catwalk
>
> We have created a Machine Learning model that can be used in cTAKES for
> ______.  The model uses the third party ______ for [newer / faster / more
> comprehensive] results.
>
> We will present the essentials of model creation as well as [numbers ,
> usage , capabilities / i/o ] of our model.   We will also advocate for the
> third party _____ and how we integrated it with cTAKES.
> We will also commit the code [model] and documentation to Apache cTAKES.
>
>
>
>
>
>
>
>
>

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