Thanks for your feedback Vaijanath! Can you give a concrete text example why you see this difference?
Thanks Michael Am Fr., 15. März 2024 um 20:03 Uhr schrieb Vaijanath Rao < vaiju1...@gmail.com>: > Embedding based classifiers are good for some use cases ( especially if you > are modeling for similarity ), but opennlp use case ( initial ones ) are > more for understanding text as in tokenization, Part of Speech, Chunking, > Dependency and so on. I would not say one can replace the other. > > We use both in our pipeline, especially when we want to understand. > > --Thanks and Regards > Vaijanath > > On Fri, Mar 15, 2024 at 8:09 AM Michael Wechner <michaelwech...@gmail.com> > wrote: > > > I have done an implementation within Katie > > > > > > > https://github.com/wyona/katie-backend/blob/main/src/main/java/com/wyona/katie/services/ClassificationServiceEmbeddingsCentroidsImpl.java > > > > and I am currently testing it and will try to compare it with the Max > > Entropy Implementation of OpenNLP. > > > > Will keep ypu posted > > > > Thanks > > > > Michael > > > > Am Fr., 15. März 2024 um 14:33 Uhr schrieb Markus Jelsma < > > markus.jel...@openindex.io>: > > > > > I would certainly want to see if this algorithm performs any better > than > > > the ones that are shipped with OpenNLP. > > > > > > Is there already a Jira ticket associated with this task? > > > > > > Op do 29 feb 2024 om 20:28 schreef Michael Wechner < > > > michaelwech...@gmail.com > > > >: > > > > > > > Hi Vaijanath > > > > > > > > Thanks for your feedback! > > > > > > > > I just received your message, but my previous reply I did not > receive. > > > > > > > > I am also subscribed to other ASF mailing lists and don't experience > > this > > > > issue there. > > > > > > > > Thanks > > > > > > > > Michael > > > > > > > > Am Do., 29. Feb. 2024 um 21:10 Uhr schrieb Vaijanath Rao < > > > > vaiju1...@gmail.com>: > > > > > > > > > Hi Michael, > > > > > > > > > > I am not sure of delay, but It's possible ( for the delay), if you > > > have > > > > > subscribed to options such as all the emails or daily digest. > > > > > > > > > > --Thanks and regards > > > > > Vaijanath > > > > > > > > > > On Thu, Feb 29, 2024 at 6:10 AM Michael Wechner < > > > > michaelwech...@gmail.com> > > > > > wrote: > > > > > > > > > > > Thanks for your feedback! I will have a closer look at > > > > > > https://github.com/jelmerk/hnswlib > > > > > > > > > > > > Btw, do others also experience strange issues re this mailing > list? > > > > > > For example I am subscribed with another email, but do not > receive > > > > > messages > > > > > > or it took a very long time to receive my own post. > > > > > > > > > > > > Thanks > > > > > > > > > > > > Michael > > > > > > > > > > > > Am Do., 29. Feb. 2024 um 14:45 Uhr schrieb Vaijanath Rao < > > > > > > vaiju1...@gmail.com>: > > > > > > > > > > > > > That might be good. We use https://github.com/jelmerk/hnswlib > > for > > > > > local > > > > > > > testing and other vendors for real time usage. With Lucene, > > > > > > > speed, scalability and updates were an issue for us. > > > > > > > > > > > > > > --Thanks and Regards > > > > > > > Vaijanath > > > > > > > > > > > > > > On Thu, Feb 29, 2024 at 12:50 AM Michael Wechner < > > > > > > michaelwech...@gmail.com > > > > > > > > > > > > > > > wrote: > > > > > > > > > > > > > > > Hi > > > > > > > > > > > > > > > > I recently found the following article re using text > embeddings > > > for > > > > > > text > > > > > > > > classifications > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > https://medium.com/@juanc.olamendy/unlocking-the-power-of-text-classification-with-embeddings-7bcbb5912790 > > > > > > > > > > > > > > > > Has anyone tried this? > > > > > > > > > > > > > > > > I am considering to implement this using Lucene Vector > search. > > > > Could > > > > > > this > > > > > > > > be a contribution to OpenNLP? > > > > > > > > > > > > > > > > Thanks > > > > > > > > > > > > > > > > Michael > > > > > > > > > > > > > > > > > > > > > > > > > > > > > -- > > > > > > > I am feeling fine, healthier and Happier, what about you > > > > > > > > > > > > > > > > > > > > > > > > > > > > -- > > > > > I am feeling fine, healthier and Happier, what about you > > > > > > > > > > > > > > > > > -- > I am feeling fine, healthier and Happier, what about you >
