Dear All,
Could anyone explain the MAXENT and GIS algorithm in detail.
Please.
+1
r
On Mon, Jul 4, 2016 at 7:20 PM, Joern Kottmann wrote:
> Thanks for your advice, if there are no concerns I will follow Chris
> suggestion.
>
> The first step is to get us setup on git-wp. I will fill an issue with
> infra to do this for us.
>
> Jörn
>
> On Mon,
Thanks for your advice, if there are no concerns I will follow Chris
suggestion.
The first step is to get us setup on git-wp. I will fill an issue with
infra to do this for us.
Jörn
On Mon, 2016-07-04 at 15:35 +, Mattmann, Chris A (3980) wrote:
> My +1 as well..I would suggest,
If can vote, here is my +1.
On 4 Jul 2016 18:35, "Mattmann, Chris A (3980)" <
chris.a.mattm...@jpl.nasa.gov> wrote:
> My +1 as well..I would suggest, specifically:
>
> 1. Use git-wp
> 2. Borrow and adapt this guide which suggests how to do it
> (i’m happy to adapt)
>
+1
2016-07-04 11:59 GMT-03:00 Tommaso Teofili :
> +1
>
> Il giorno lun 4 lug 2016 alle ore 16:41 Madhawa Kasun Gunasekara <
> madhaw...@gmail.com> ha scritto:
>
> > +1
> >
> > Madhawa
> >
> > On Mon, Jul 4, 2016 at 8:09 PM, Anthony Beylerian <
> >
+1
Madhawa
On Mon, Jul 4, 2016 at 8:09 PM, Anthony Beylerian <
anthony.beyler...@gmail.com> wrote:
> +1
>
> On Mon, Jul 4, 2016 at 11:36 PM, Joern Kottmann
> wrote:
>
> > Hello all,
> >
> > do we still want to do this? Has been a while since we discussed it.
> > I am happy
Hello all,
do we still want to do this? Has been a while since we discussed it.
I am happy to get it done if we reach consensus on it again.
My +1 again.
Jörn
On Thu, Dec 20, 2012 at 4:40 PM, Tommaso Teofili
wrote:
> in my opinion that would be good, +1
> Tommaso
>
Jorn, please, could you link me that model?
2016-07-04 14:42 GMT+02:00 Joern Kottmann :
> The co-referencer we used used to have in opennlp-tools has a model to
> detect the gender of names. That could could be extracted and put into a
> stand alone component.
>
> Jörn
>
> On
Hello,
there are also other interesting properties e.g. person title (e.g.
professor, doctor), job title/position,
company legal form. And much more for other entity types.
Maybe it would be worth it to build a dedicated component to extract
properties from entities.
Jörn
On Fri, Jul 1, 2016
You should get a copy of OntoNotes (it is for free) and OpenNLP already has
support to train models on it.
So the entry barrier to get started with this corpus is very low.
Jörn
On Wed, Jun 29, 2016 at 11:22 AM, Anthony Beylerian <
anthony.beyler...@gmail.com> wrote:
> How about we keep track
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