Just updated info and patch file in https://issues.apache.org/jira/browse/CTAKES-268
Please, take a look. -- Roberto Costumero Moreno Laboratorio de Minería de Datos y Simulación (MIDAS) Centro de Tecnología Biomédica Universidad Politecnica de Madrid roberto.costum...@upm.es Tlf: +34 91 336 4664 El 21/11/2013, a las 11:00, Roberto Costumero Moreno <roberto.costum...@upm.es> escribió: > I put the serialize but as the output was in binary I couldn’t compare the > actual results with the examples. > > Also I created the Sentence Detector that way because I couldn’t find any > proper documentation on the way settings are managed, or what is more likely, > I didn’t understand them. > > Could you bring more light on how to use the settings so I can make the > changes properly? > > Thanks, > > -- > Roberto Costumero Moreno > Laboratorio de Minería de Datos y Simulación (MIDAS) > Centro de Tecnología Biomédica > Universidad Politecnica de Madrid > roberto.costum...@upm.es > Tlf: +34 91 336 4664 > > El 21/11/2013, a las 09:57, Jörn Kottmann <kottm...@gmail.com> escribió: > >> On 11/20/2013 09:53 PM, Chen, Pei wrote: >>> Re:https://issues.apache.org/jira/browse/CTAKES-268 >>> Joern- could you confirm- I think in the latest OpenNLP versions, you can >>> simply call something like >>> SentenceModel.serialize(outputstream) now to save the models? >> >> Yes, excatly, this how a model in OpenNLP should be serialized. >> >> The proposed code inside the jira issue to save the model should really not >> be used, >> first of all the API to instantiate a Senence Detector of a model serialized >> in this way >> is deprecated and will be removed in the next version, and second this >> creates a Sentence >> Detector which uses default settings, if some non-default settings (e.g. >> more EOS chars) are used >> during training the settings don't match. >> >> Jörn >
