Please explain to us what is not working. Any error messages or exceptions?
The name finder by default trains on the default format which you can see in the documentation link i shared. Jörn On Mon, Feb 20, 2017 at 6:04 AM, Madhvi Gupta <[email protected]> wrote: > Hi Joern, > > I have got the data from the following link which consist of corpus of new > articles. > http://trec.nist.gov/data/reuters/reuters.html > > Following the steps given in the below link I have created training and > test data but it is not working with the NameFinder of opennlp api. > http://www.clips.uantwerpen.be/conll2003/ner/000README > > So can you please help me how to create training data out of that corpus > and use it to create name entity detection models? > > With Regards > Madhvi Gupta > *(Senior Software Engineer)* > > On Mon, Feb 20, 2017 at 1:00 AM, Joern Kottmann <[email protected]> > wrote: > > > Hello, > > > > to train the name finder you need training data that contains the > entities > > you would like to decect. > > Is that the case with the data you have? > > > > Take a look at our documentation: > > https://opennlp.apache.org/documentation/1.7.2/manual/ > > opennlp.html#tools.namefind.training > > > > At the beginning of that section you can see how the data has to be > marked > > up. > > > > Please note you that you need many sentences to train the name finder. > > > > HTH, > > Jörn > > > > > > On Sat, Feb 18, 2017 at 11:28 AM, Madhvi Gupta <[email protected]> > > wrote: > > > > > Hi All, > > > > > > I have got reuters data from NIST. Now I want to generate the training > > data > > > from that to create a model for detecting named entities. Can anyone > tell > > > me how the models can be generated from that. > > > > > > -- > > > With Regards > > > Madhvi Gupta > > > *(Senior Software Engineer)* > > > > > > > > > -- >
