Hi Everyone, Hope you¹re well! I¹m new to the list, however I just wanted to state I¹m really happy with what I¹ve seen with OpenNLP so far. My team and I have built a Tika Parser [1] that uses OpenNLP¹s location NER model, along with a Lucene Geo Names Gazeeteer [2] to create a ³GeoTopicParser². We are improving it day to day. OpenNLP has definitely come a long way from when I looked at it years ago in its nascence.
That said, I keep hearing from people I talk to in the NLP community that for example OpenNLP is ³old², and that I should be looking at e.g., Stanford¹s NER, and NTLK, etc. Besides obvious license issues (NER is GPL as an example and I am only interested in ALv2 or permissive license code), I don¹t have a great answer to whether or not OpenNLP is old or not active, or not as good, etc. Can devs on this list help me answer that question? I¹d like to be able to tell these NLP people the next time I talk to them that no, in fact, OpenNLP isn¹t *old*, and it¹s active, and there are these X and Y lines of development, and here¹s where they are going, etc. Looking at: https://whimsy.apache.org/board/minutes/OpenNLP I see that you guys have done GSoC, are working on a Naive Bayes classifier; summarization components, are making releases (seemingly more frequently, etc.). I also looked at: https://reporter.apache.org/ And I see your project health score and activity is excellent. Thanks and let me know. 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/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Adjunct Associate Professor, Computer Science Department University of Southern California, Los Angeles, CA 90089 USA ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
