I recently came to OpenNLP mainly because of its integration within UIMA and because of its approach in terms of NLP tasks and not algorithm centered. In future, I would like it to include capabilities for easy feature configuration and for may be considering alternatives to the MaxEnt algorithm.
Probably that a TLP is the best way to pursue its developing +1 /Nicolas On Wed, Nov 23, 2011 at 12:05 AM, James Kosin <[email protected]> wrote: > +1 for Graduation, and +1 for TLP > > On 11/22/2011 11:03 AM, Jörn Kottmann wrote: >> Hi all, >> >> the Incubator is not a place where we can stay forever and the time >> has come to decide where we will go. >> >> We did now two releases, where the first one was mainly about >> migrating from SourceForge and the second one was developed following >> the Apache-way with over 100 jira issues fixed, often with help from >> our community. >> >> The move to Apache was a great step forward. We grew our community >> and made the project more attractive to other open source projects. >> >> Theoretically we have three ways we can take, graduate to a Top Level >> Project, >> graduate to a Subproject or leave Apache. >> >> Making OpenNLP a Top Level Project seems as the best option for us. >> >> We have an open and diverse community, and I believe OpenNLP will have >> long >> term success at Apache. Many things tremendously improved over the >> SourceForge >> days and we are now able to work on the project as a community, which >> is really >> a distinction from most other open source NLP projects. >> >> OpenNLP sees good adaption/integration by other Apache projects, such >> as Stanbol, UIMA, >> Lucene/Solr (via UIMA and direct integration is planned) and Clerezza. >> All these collaborations >> are a good advertisement for us and will attract more users over time. >> >> At Apache we will have a bright future and will be able to make one of >> the >> best open source NLP toolkits. >> >> Please express your opinion about graduating OpenNLP. >> >> Jörn > >
