Well, hold on. He sent that mail (as of the time of this mail) 4 mins previously. Maybe some folks need some time to reply ^_^
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 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: [email protected] WWW: http://sunset.usc.edu/~mattmann/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Director, Information Retrieval and Data Science Group (IRDS) Adjunct Associate Professor, Computer Science Department University of Southern California, Los Angeles, CA 90089 USA WWW: http://irds.usc.edu/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ On 6/20/16, 8:23 AM, "Jeffrey Zemerick" <[email protected]> wrote: >Hi Mondher, > >Since you didn't get any replies I'm guessing no one is aware of any >resources related to what you need. Google Scholar is a good place to look >for papers referencing OpenNLP and its methods (in case you haven't >searched it already). > >Jeff > >On Mon, Jun 20, 2016 at 11:19 AM, Mondher Bouazizi < >[email protected]> wrote: > >> Hi, >> >> Apologies if you received multiple copies of this email. I sent it to the >> users list a while ago, and haven't had an answer yet. >> >> I have been looking for a while if there is any relevant work that >> performed tests on the OpenNLP tools (in particular the Lemmatizer, >> Tokenizer and PoS-Tagger) when used with short and noisy texts such as >> Twitter data, etc., and/or compared it to other libraries. >> >> By performances, I mean accuracy/precision, rather than time of execution, >> etc. >> >> If anyone can refer me to a paper or a work done in this context, that >> would be of great help. >> >> Thank you very much. >> >> Mondher >>
