Reg. MaxENT and GIS.

[Rakesh P]

Dear All,
 Could anyone explain the MAXENT and GIS algorithm in detail.
Please.

Re: Migrate to Git?

[Rodrigo Agerri]

+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, 2016-07-04 at 15:35 +, Mattmann, Chris A (3980) 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)
>> http://wiki.apache.org/tika/UsingGit
>> 3. Turn on writeable git wp mirror’ing to apache/opennlp
>>
>> Cheers,
>> Chris
>>
>> ++
>> Chris Mattmann, Ph.D.
>> Chief Architect
>> Instrument Software and Science Data Systems Section (398)
>> NASA Jet Propulsion Laboratory Pasadena, CA 91109 USA
>> Office: 168-519, Mailstop: 168-527
>> Email: chris.a.mattm...@nasa.gov
>> WWW:  http://sunset.usc.edu/~mattmann/
>> ++
>> Director, Information Retrieval and Data Science Group (IRDS)
>> Adjunct Associate Professor, Computer Science Department
>> University of Southern California, Los Angeles, CA 90089 USA
>> WWW: http://irds.usc.edu/
>> ++
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>> On 7/4/16, 7:36 AM, "Joern Kottmann"  wrote:
>>
>> > 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
>> > >
>> > >
>> > > 2012/12/19 Jörn Kottmann 
>> > >
>> > > > Hi all,
>> > > >
>> > > > I heard at ApacheCon Europe that it should be possible to migrate from
>> > > > Subverion to Git.
>> > > >
>> > > > Is there any interest in doing that? If we decide to do it I suggest to
>> > > > wait until the
>> > > > 1.5.3 release is done so we have a bit time to also migrate our build
>> > > > process.
>> > > >
>> > > > Do have all committers experience with git?
>> > > >
>> > > > Jörn
>> > > >
>> > >

Re: Migrate to Git?

[Joern Kottmann]

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, specifically:
> 
> 1. Use git-wp
> 2. Borrow and adapt this guide which suggests how to do it
> (i’m happy to adapt)
> http://wiki.apache.org/tika/UsingGit
> 3. Turn on writeable git wp mirror’ing to apache/opennlp
> 
> Cheers,
> Chris
> 
> ++
> Chris Mattmann, Ph.D.
> Chief Architect
> Instrument Software and Science Data Systems Section (398)
> NASA Jet Propulsion Laboratory Pasadena, CA 91109 USA
> Office: 168-519, Mailstop: 168-527
> Email: chris.a.mattm...@nasa.gov
> WWW:  http://sunset.usc.edu/~mattmann/
> ++
> Director, Information Retrieval and Data Science Group (IRDS)
> Adjunct Associate Professor, Computer Science Department
> University of Southern California, Los Angeles, CA 90089 USA
> WWW: http://irds.usc.edu/
> ++
> 
> 
> 
> 
> 
> 
> 
> 
> 
> 
> On 7/4/16, 7:36 AM, "Joern Kottmann"  wrote:
> 
> > 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
> > > 
> > > 
> > > 2012/12/19 Jörn Kottmann 
> > > 
> > > > Hi all,
> > > > 
> > > > I heard at ApacheCon Europe that it should be possible to migrate from
> > > > Subverion to Git.
> > > > 
> > > > Is there any interest in doing that? If we decide to do it I suggest to
> > > > wait until the
> > > > 1.5.3 release is done so we have a bit time to also migrate our build
> > > > process.
> > > > 
> > > > Do have all committers experience with git?
> > > > 
> > > > Jörn
> > > > 
> > > 

Re: Migrate to Git?

[Oleg Tikhonov]

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)
> http://wiki.apache.org/tika/UsingGit
> 3. Turn on writeable git wp mirror’ing to apache/opennlp
>
> Cheers,
> Chris
>
> ++
> Chris Mattmann, Ph.D.
> Chief Architect
> Instrument Software and Science Data Systems Section (398)
> NASA Jet Propulsion Laboratory Pasadena, CA 91109 USA
> Office: 168-519, Mailstop: 168-527
> Email: chris.a.mattm...@nasa.gov
> WWW:  http://sunset.usc.edu/~mattmann/
> ++
> Director, Information Retrieval and Data Science Group (IRDS)
> Adjunct Associate Professor, Computer Science Department
> University of Southern California, Los Angeles, CA 90089 USA
> WWW: http://irds.usc.edu/
> ++
>
>
>
>
>
>
>
>
>
>
> On 7/4/16, 7:36 AM, "Joern Kottmann"  wrote:
>
> >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 <
> tommaso.teof...@gmail.com>
> >wrote:
> >
> >> in my opinion that would be good, +1
> >> Tommaso
> >>
> >>
> >> 2012/12/19 Jörn Kottmann 
> >>
> >> > Hi all,
> >> >
> >> > I heard at ApacheCon Europe that it should be possible to migrate from
> >> > Subverion to Git.
> >> >
> >> > Is there any interest in doing that? If we decide to do it I suggest
> to
> >> > wait until the
> >> > 1.5.3 release is done so we have a bit time to also migrate our build
> >> > process.
> >> >
> >> > Do have all committers experience with git?
> >> >
> >> > Jörn
> >> >
> >>
>

Re: Migrate to Git?

[William Colen]

+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 <
> > 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 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 <
> > > > tommaso.teof...@gmail.com>
> > > > wrote:
> > > >
> > > > > in my opinion that would be good, +1
> > > > > Tommaso
> > > > >
> > > > >
> > > > > 2012/12/19 Jörn Kottmann 
> > > > >
> > > > > > Hi all,
> > > > > >
> > > > > > I heard at ApacheCon Europe that it should be possible to migrate
> > > from
> > > > > > Subverion to Git.
> > > > > >
> > > > > > Is there any interest in doing that? If we decide to do it I
> > suggest
> > > to
> > > > > > wait until the
> > > > > > 1.5.3 release is done so we have a bit time to also migrate our
> > build
> > > > > > process.
> > > > > >
> > > > > > Do have all committers experience with git?
> > > > > >
> > > > > > Jörn
> > > > > >
> > > > >
> > > >
> > >
> >
>

Re: Migrate to Git?

[Madhawa Kasun Gunasekara]

+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 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 <
> > tommaso.teof...@gmail.com>
> > wrote:
> >
> > > in my opinion that would be good, +1
> > > Tommaso
> > >
> > >
> > > 2012/12/19 Jörn Kottmann 
> > >
> > > > Hi all,
> > > >
> > > > I heard at ApacheCon Europe that it should be possible to migrate
> from
> > > > Subverion to Git.
> > > >
> > > > Is there any interest in doing that? If we decide to do it I suggest
> to
> > > > wait until the
> > > > 1.5.3 release is done so we have a bit time to also migrate our build
> > > > process.
> > > >
> > > > Do have all committers experience with git?
> > > >
> > > > Jörn
> > > >
> > >
> >
>

Re: Migrate to Git?

[Joern Kottmann]

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
>
>
> 2012/12/19 Jörn Kottmann 
>
> > Hi all,
> >
> > I heard at ApacheCon Europe that it should be possible to migrate from
> > Subverion to Git.
> >
> > Is there any interest in doing that? If we decide to do it I suggest to
> > wait until the
> > 1.5.3 release is done so we have a bit time to also migrate our build
> > process.
> >
> > Do have all committers experience with git?
> >
> > Jörn
> >
>

Re: Model to detect the gender

[Damiano Porta]

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 Mon, Jul 4, 2016 at 2:41 PM, Joern Kottmann  wrote:
>
> > I was speaking about the second case. We could build a dedicated
> component
> > specialized in extracting properties about already detected entities.
> >
> > Jörn
> >
> > On Mon, Jul 4, 2016 at 2:33 PM, Damiano Porta 
> > wrote:
> >
> >> Hello Jorn,
> >> Do you mean that i need to "extend" my NER model to find other
> >> name-related
> >> entities too?
> >>
> >> OR
> >>
> >> Find the entities with a dictionary and then train a maxent model that
> >> finds other properties like person title, job position etc?
> >>
> >> Thanks for the clarification.
> >>
> >>
> >> 2016-07-04 12:15 GMT+02:00 Joern Kottmann :
> >>
> >> > 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 at 3:05 PM, Mondher Bouazizi <
> >> > mondher.bouaz...@gmail.com
> >> > > wrote:
> >> >
> >> > > Hi,
> >> > >
> >> > > Sorry for my late reply. I didn't understand well your last email,
> but
> >> > here
> >> > > is what I meant:
> >> > >
> >> > > Given a simple dictionary you have that has the following columns:
> >> > >
> >> > > Name   Type   Gender
> >> > > Agatha First   F
> >> > > JohnFirst   M
> >> > > Smith  Both   B
> >> > >
> >> > > where:
> >> > > - "First" refers to first name, "Last" (not in the example) refers
> to
> >> > last
> >> > > name, and Both means it can be both.
> >> > > - "F" refers to female, "M" refers to males, and "B" refers to both
> >> > > genders.
> >> > >
> >> > > and given the following two sentences:
> >> > >
> >> > > 1. "It was nice meeting you John. I hope we meet again soon."
> >> > >
> >> > > 2. "Yes, I met Mrs. Smith. I asked her her opinion about the case
> and
> >> > felt
> >> > > she knows something"
> >> > >
> >> > > In the first example, when you check in the dictionary, the name
> >> "John"
> >> > is
> >> > > a male name, so no need to go any further.
> >> > > However, in the second example, the name "Smith", which is a family
> >> name
> >> > in
> >> > > our case, can be fit for both, males and females. Therefore, we need
> >> to
> >> > > extract features from the surrounding context and perform a
> >> > classification
> >> > > task.
> >> > > Here are some of the features I think they would be interesting to
> >> use:
> >> > >
> >> > > . Presence of a male initiative before the word {True, False}
> >> > > . Presence of a female initiative before the word {True, False}
> >> > >
> >> > > . Gender of the first personal pronoun (subject or object form) to
> the
> >> > > right of the nameValues={MALE, FEMALE, UNCERTAIN, EMPTY}
> >> > > . Distance between the name and the first personal pronoun to the
> >> right
> >> > (in
> >> > > words) Values=NUMERIC
> >> > > . Gender of the second personal pronoun to the right of the
> >> > > name Values={MALE, FEMALE,
> UNCERTAIN,
> >> > > EMPTY}
> >> > > . Distance between the name and the second personal pronoun right
> >> > >  Values=NUMERIC
> >> > > . Gender of the third personal pronoun to the right of the
> >> > > name  Values={MALE, FEMALE,
> >> > UNCERTAIN,
> >> > > EMPTY}
> >> > > . Distance between the name and the third personal pronoun right (in
> >> > > words)  Values=NUMERIC
> >> > >
> >> > > . Gender of the first personal pronoun (subject or object form) to
> the
> >> > left
> >> > > of the name   Values={MALE, FEMALE, UNCERTAIN, EMPTY}
> >> > > . Distance between the name and the first personal pronoun to the
> left
> >> > (in
> >> > > words)Values=NUMERIC
> >> > > . Gender of the second personal pronoun to the left of the
> >> > > nameValues={MALE, FEMALE,
> >> UNCERTAIN,
> >> > > EMPTY}
> >> > > . Distance between the name and the second personal pronoun left
> >> > > Values=NUMERIC
> >> > > . Gender of the third personal pronoun to the left of the
> >> > > nameValues={MALE, FEMALE,
> >> > > UNCERTAIN, EMPTY}
> >> > > . Distance between the name and the third personal pronoun left (in
> >> > > words)Values=NUMERIC
> >> > >
> >> > > In the second example here are the values you have for your features
> >> > >
> >> > 

Re: Model to detect the gender

[Joern Kottmann]

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 at 3:05 PM, Mondher Bouazizi  wrote:

> Hi,
>
> Sorry for my late reply. I didn't understand well your last email, but here
> is what I meant:
>
> Given a simple dictionary you have that has the following columns:
>
> Name   Type   Gender
> Agatha First   F
> JohnFirst   M
> Smith  Both   B
>
> where:
> - "First" refers to first name, "Last" (not in the example) refers to last
> name, and Both means it can be both.
> - "F" refers to female, "M" refers to males, and "B" refers to both
> genders.
>
> and given the following two sentences:
>
> 1. "It was nice meeting you John. I hope we meet again soon."
>
> 2. "Yes, I met Mrs. Smith. I asked her her opinion about the case and felt
> she knows something"
>
> In the first example, when you check in the dictionary, the name "John" is
> a male name, so no need to go any further.
> However, in the second example, the name "Smith", which is a family name in
> our case, can be fit for both, males and females. Therefore, we need to
> extract features from the surrounding context and perform a classification
> task.
> Here are some of the features I think they would be interesting to use:
>
> . Presence of a male initiative before the word {True, False}
> . Presence of a female initiative before the word {True, False}
>
> . Gender of the first personal pronoun (subject or object form) to the
> right of the nameValues={MALE, FEMALE, UNCERTAIN, EMPTY}
> . Distance between the name and the first personal pronoun to the right (in
> words) Values=NUMERIC
> . Gender of the second personal pronoun to the right of the
> name Values={MALE, FEMALE, UNCERTAIN,
> EMPTY}
> . Distance between the name and the second personal pronoun right
>  Values=NUMERIC
> . Gender of the third personal pronoun to the right of the
> name  Values={MALE, FEMALE, UNCERTAIN,
> EMPTY}
> . Distance between the name and the third personal pronoun right (in
> words)  Values=NUMERIC
>
> . Gender of the first personal pronoun (subject or object form) to the left
> of the name   Values={MALE, FEMALE, UNCERTAIN, EMPTY}
> . Distance between the name and the first personal pronoun to the left (in
> words)Values=NUMERIC
> . Gender of the second personal pronoun to the left of the
> nameValues={MALE, FEMALE, UNCERTAIN,
> EMPTY}
> . Distance between the name and the second personal pronoun left
> Values=NUMERIC
> . Gender of the third personal pronoun to the left of the
> nameValues={MALE, FEMALE,
> UNCERTAIN, EMPTY}
> . Distance between the name and the third personal pronoun left (in
> words)Values=NUMERIC
>
> In the second example here are the values you have for your features
>
> F1 = False
> F2 = True
> F3 = UNCERTAIN
> F4 = 1
> F5 = FEMALE
> F6 = 3
> F7 = FEMALE
> F8 = 4
> F9 = UNCERTAIN
> F10 = 2
> F11 = EMPTY
> F12 = 0
> F13 = EMPTY
> F14 = 0
>
> Of course the choice of features depends on the type of data, and the
> features themselves might not work well for some texts such as ones
> collected from twitter for example.
>
> I hope this help you.
>
> Best regards
>
> Mondher
>
>
> On Thu, Jun 30, 2016 at 7:42 PM, Damiano Porta 
> wrote:
>
> > Hi Mondher,
> > could you give me a raw example to understand how i should train the
> > classifier model?
> >
> > Thank you in advance!
> > Damiano
> >
> >
> > 2016-06-30 6:57 GMT+02:00 Mondher Bouazizi :
> >
> > > Hi,
> > >
> > > I would recommend a hybrid approach where, in a first step, you use a
> > plain
> > > dictionary and then perform the classification if needed.
> > >
> > > It's straightforward, but I think it would present better performances
> > than
> > > just performing a classification task.
> > >
> > > In the first step you use a dictionary of names along with an attribute
> > > specifying whether the name fits for males, females or both. In case
> the
> > > name fits for males or females exclusively, then no need to go any
> > further.
> > >
> > > If the name fits for both genders, or is a family name etc., a second
> > step
> > > is needed where you extract features from the context (surrounding
> words,
> > > etc.) and perform a classification task using any machine learning
> > > algorithm.
> > >
> > > Another way would be using the information itself (whether the name
> fits
> > > for males, females or both) as a feature when you perform the
> > > classification.
> > 

Re: Performances of OpenNLP tools

[Joern Kottmann]

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 of the sets used for performance evaluation and
> results in this doc for now:
>
>
> https://docs.google.com/spreadsheets/d/15c0-u61HNWfQxiDSGjk49M1uBknIfb-LkbP4BDWTB5w/edit?usp=sharing
>
> Will try to take a better look at OntoNotes and what to use from it.
> Otherwise, if anyone would like to suggest proper data-sets for testing
> each component that would be really helpful
>
> Anthony
>
> On Thu, Jun 23, 2016 at 12:18 AM, Joern Kottmann 
> wrote:
>
> > It would be nice to get MASC support into the OpenNLP formats package.
> >
> > Jörn
> >
> > On Tue, Jun 21, 2016 at 6:18 PM, Jason Baldridge <
> jasonbaldri...@gmail.com
> > >
> > wrote:
> >
> > > Jörn is absolutely right about that. Another good source of training
> data
> > > is MASC. I've got some instructions for training models with MASC here:
> > >
> > > https://github.com/scalanlp/chalk/wiki/Chalk-command-line-tutorial
> > >
> > > Chalk (now defunct) provided a Scala wrapper around OpenNLP
> > functionality,
> > > so the instructions there should make it fairly straightforward to
> adapt
> > > MASC data to OpenNLP.
> > >
> > > -Jason
> > >
> > > On Tue, 21 Jun 2016 at 10:46 Joern Kottmann 
> wrote:
> > >
> > > > There are some research papers which study and compare the
> performance
> > of
> > > > NLP toolkits, but be careful often they don't train the NLP tools on
> > the
> > > > same data and the training data makes a big difference on the
> > > performance.
> > > >
> > > > Jörn
> > > >
> > > > On Tue, Jun 21, 2016 at 5:44 PM, Joern Kottmann 
> > > > wrote:
> > > >
> > > > > Just don't use the very old existing models, to get good results
> you
> > > have
> > > > > to train on your own data, especially if the domain of the data
> used
> > > for
> > > > > training and the data which should be processed doesn't match. The
> > old
> > > > > models are trained on 90s news, those don't work well on todays
> news
> > > and
> > > > > probably much worse on tweets.
> > > > >
> > > > > OntoNots is a good place to start if the goal is to process news.
> > > OpenNLP
> > > > > comes with build-in support to train models from OntoNotes.
> > > > >
> > > > > Jörn
> > > > >
> > > > > On Tue, Jun 21, 2016 at 4:20 PM, Mattmann, Chris A (3980) <
> > > > > chris.a.mattm...@jpl.nasa.gov> wrote:
> > > > >
> > > > >> This sounds like a fantastic idea.
> > > > >>
> > > > >> ++
> > > > >> Chris Mattmann, Ph.D.
> > > > >> Chief Architect
> > > > >> Instrument Software and Science Data Systems Section (398)
> > > > >> NASA Jet Propulsion Laboratory Pasadena, CA 91109 USA
> > > > >> Office: 168-519, Mailstop: 168-527
> > > > >> Email: chris.a.mattm...@nasa.gov
> > > > >> WWW:  http://sunset.usc.edu/~mattmann/
> > > > >> ++
> > > > >> Director, Information Retrieval and Data Science Group (IRDS)
> > > > >> Adjunct Associate Professor, Computer Science Department
> > > > >> University of Southern California, Los Angeles, CA 90089 USA
> > > > >> WWW: http://irds.usc.edu/
> > > > >> ++
> > > > >>
> > > > >>
> > > > >>
> > > > >>
> > > > >>
> > > > >>
> > > > >>
> > > > >>
> > > > >>
> > > > >>
> > > > >> On 6/21/16, 12:13 AM, "Anthony Beylerian" <
> > > anthonybeyler...@hotmail.com
> > > > >
> > > > >> wrote:
> > > > >>
> > > > >> >+1
> > > > >> >
> > > > >> >Maybe we could put the results of the evaluator tests for each
> > > > component
> > > > >> somewhere on a webpage and on every release update them.
> > > > >> >This is of course provided there are reasonable data sets for
> > testing
> > > > >> each component.
> > > > >> >What do you think?
> > > > >> >
> > > > >> >Anthony
> > > > >> >
> > > > >> >> From: mondher.bouaz...@gmail.com
> > > > >> >> Date: Tue, 21 Jun 2016 15:59:47 +0900
> > > > >> >> Subject: Re: Performances of OpenNLP tools
> > > > >> >> To: dev@opennlp.apache.org
> > > > >> >>
> > > > >> >> Hi,
> > > > >> >>
> > > > >> >> Thank you for your replies.
> > > > >> >>
> > > > >> >> Please Jeffrey accept once more my apologies for receiving the
> > > email
> > > > >> twice.
> > > > >> >>
> > > > >> >> I also think it would be great to have such studies on the
> > > > >> performances of
> > > > >> >> OpenNLP.
> > > > >> >>
> > > > >> >> I have been looking for this information and checked in many
> > > places,
> > > > >> >> including obviously google scholar, and I haven't found any
> > serious
> > > > >> studies
> > > > >> >> or reliable results. Most of the existing ones report the
> > > > performances
> > > > >> of
> >