Hello,

I updated the code and afterwards spent some time evaluating it again. The
maxent training is very close to our maxent classifier. I also checked the
training code again and it looks good to me, but it would be nice if you
can review it.

There are a couple of other classifiers in mallet, it should be trivial to
expose them all to OpenNLP.

Jörn

On Tue, Oct 20, 2015 at 9:12 AM, Rodrigo Agerri <[email protected]>
wrote:

> Hello,
>
> Thanks. I thought I had an idea for CRF not obtaining good results
> with OpenNLP default features, e.g.,
>
> http://lingpipe-blog.com/2006/11/22/why-do-you-hate-crfs/
>
> but if results are also worse in Maxent, that is intriguing. I will
> look at the Mallet implementation to see if I find out something.
>
> R
>
>
>
> On Mon, Oct 12, 2015 at 4:07 PM, Joern Kottmann <[email protected]>
> wrote:
> > Hello,
> >
> > fixed up the code a bit. The performance is not really good. Do you have
> > any idea why that could be?
> >
> > Neither the maxent or crf get good evaluation numbers on NER.
> >
> > I will push the changes and then you can experiment with it too.
> >
> > Jörn
> >
> >
> > On Mon, Oct 5, 2015 at 4:45 PM, Rodrigo Agerri <[email protected]>
> wrote:
> >
> >> Hi,
> >>
> >> On Tue, Sep 29, 2015 at 3:41 PM, Joern Kottmann <[email protected]>
> >> wrote:
> >> > We can also move
> >> > it to the sandbox, releasing it at Apache might be more difficult
> since
> >> > mallet pulls in incompatible licensed dependencies. But maybe that
> >> changed,
> >> > we can check.
> >>
> >> Mallet is released under Common Public License
> >>
> >> http://opensource.org/licenses/cpl1.0.php
> >>
> >> but as you have mentioned, it pulls several dependencies that are
> >> LGPL. These are the dependencies:
> >>
> >>   <dependency>
> >>       <groupId>org.beanshell</groupId>
> >>       <artifactId>bsh</artifactId>
> >>       <version>2.0b4</version>
> >>     </dependency>
> >>
> >> This version is LGPL, however, later versions are APL 2.0
> >>
> >> https://github.com/beanshell/beanshell
> >>
> >> <dependency>
> >>       <groupId>jgrapht</groupId>
> >>       <artifactId>jgrapht</artifactId>
> >>       <version>0.6.0</version>
> >>     </dependency>
> >>
> >> that version was also LGPL, but it has now been dual-licensed with EPL
> 1.0
> >>
> >> https://github.com/jgrapht/jgrapht/wiki/Relicensing
> >>
> >> which could be included also in APL 2.0 projects
> >>
> >> http://www.apache.org/legal/resolved.html
> >>
> >>  <dependency>
> >>       <groupId>net.sf.jwordnet</groupId>
> >>       <artifactId>jwnl</artifactId>
> >>       <version>1.4_rc3</version>
> >>     </dependency>
> >>
> >> BSD license, but this library has already been discussed here.
> >>
> >>  <dependency>
> >>       <groupId>net.sf.trove4j</groupId>
> >>       <artifactId>trove4j</artifactId>
> >>       <version>2.0.2</version>
> >>     </dependency>
> >>
> >> LGPL-ed.
> >>
> >> <dependency>
> >>       <groupId>com.googlecode.matrix-toolkits-java</groupId>
> >>       <artifactId>mtj</artifactId>
> >>       <version>0.9.14</version>
> >>     </dependency>
> >>
> >> also LGPL
> >>
> >> Rodrigo
> >>
>

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