OpenNLP Similarity release (Was: Re: Build failed in Jenkins: OpenNLP #476)
Yes it would be great to get it released. I suggest we move it from the sandbox to the addons and then we make an addons release. Any opinions? Jörn On 10/27/2014 11:54 PM, Boris Galitsky wrote: Hi guys since you are taking about the build - when this project is moved to github, would I have a chance to try to deploy OpenNLP.Similarity? I struggled for some time to deploy it couple of years back. Regards Boris Subject: Re: Build failed in Jenkins: OpenNLP #476 From: kottm...@gmail.com To: dev@opennlp.apache.org Date: Mon, 27 Oct 2014 22:50:17 +0100 On Mon, 2014-10-27 at 19:15 +, Rodrigo Agerri wrote: Hi, This is not caused by my latest commit, is it not? Your last commit just triggered the build. The build itself was successful. It failed afterwards when it tried to deploy the artifacts to the snapshot repo with: 503 Service Temporarily Unavailable It probably works if we trigger it. Jörn
RE: OpenNLP Similarity release
I will then clean the code and make sure all tests work Regards Boris Date: Tue, 28 Oct 2014 08:46:33 +0100 From: kottm...@gmail.com To: dev@opennlp.apache.org Subject: OpenNLP Similarity release (Was: Re: Build failed in Jenkins: OpenNLP #476) Yes it would be great to get it released. I suggest we move it from the sandbox to the addons and then we make an addons release. Any opinions? Jörn On 10/27/2014 11:54 PM, Boris Galitsky wrote: Hi guys since you are taking about the build - when this project is moved to github, would I have a chance to try to deploy OpenNLP.Similarity? I struggled for some time to deploy it couple of years back. Regards Boris Subject: Re: Build failed in Jenkins: OpenNLP #476 From: kottm...@gmail.com To: dev@opennlp.apache.org Date: Mon, 27 Oct 2014 22:50:17 +0100 On Mon, 2014-10-27 at 19:15 +, Rodrigo Agerri wrote: Hi, This is not caused by my latest commit, is it not? Your last commit just triggered the build. The build itself was successful. It failed afterwards when it tried to deploy the artifacts to the snapshot repo with: 503 Service Temporarily Unavailable It probably works if we trigger it. Jörn
What should we do with the SF models?
Hi all, OpenNLP always came with a couple of trained models which were ready to use for a few languages. The performance a user encounters with those models heavily depends on their input text. Especially the English name finder models which were trained on MUC 6/7 data perform very poorly these days if run on current news articles and even worse on data which is not in the news domain. Anyway, we often get judged on how well OpenNLP works just based on the performance of those models (or maybe people who compare their NLP systems against OpenNLP just love to have OpenNLP perform badly). I think we are now at a point with those models were it is questionable if having them is still an advantage for OpenNLP. The SourceForge page is often blocked due to traffic limitations. We definitely have to act somehow. The old models have definitely some historic value and are used for testing the release. What should we do? We could take them offline and advice our users to train their own models on one of the various corpora we support. We could also do both and place a prominent link to our corpora documentation on the download page and in a less visible place a link to he historic SF models. Jörn
Re: What should we do with the SF models?
I believe that models are important for users, since not every user has access to appropriate data files to train basic models. My suggestion is to use an alternative service to host these models, like github, torrent or other file share service... Github is a good option since they don't have any quota or bandwidth limitation. Gustvo K. 2014-10-28 15:19 GMT-02:00 Joern Kottmann kottm...@gmail.com: Hi all, OpenNLP always came with a couple of trained models which were ready to use for a few languages. The performance a user encounters with those models heavily depends on their input text. Especially the English name finder models which were trained on MUC 6/7 data perform very poorly these days if run on current news articles and even worse on data which is not in the news domain. Anyway, we often get judged on how well OpenNLP works just based on the performance of those models (or maybe people who compare their NLP systems against OpenNLP just love to have OpenNLP perform badly). I think we are now at a point with those models were it is questionable if having them is still an advantage for OpenNLP. The SourceForge page is often blocked due to traffic limitations. We definitely have to act somehow. The old models have definitely some historic value and are used for testing the release. What should we do? We could take them offline and advice our users to train their own models on one of the various corpora we support. We could also do both and place a prominent link to our corpora documentation on the download page and in a less visible place a link to he historic SF models. Jörn
