stanford-nlp

I am trying to get around using the Stanford CoreNLP. I used some code from the web to understand what is going on with the coreference tool. I tried running the project in Eclipse but keep encountering an out of memory exception. I tried increasing the heap size but there isnt any difference. Any ideas on why this keeps happening? Is this a code specific problem? Any directions of using CoreNLP would be awesome. EDIT - Code Added import edu.stanford.nlp.dcoref.CorefChain; import edu.stanford.nlp.dcoref.CorefCoreAnnotations; import edu.stanford.nlp.pipeline.Annotation; import edu.stanford.nlp

How can I shut down the Stanford CoreNLP messages (see end of post)? I first tried setting log4j.category.edu.stanford=OFF in log4j.properties but that didn't help so I found out that apparently it uses a nonstandard logging framework called "Redwood". According to http://nlp.stanford.edu/nlp/javadoc/javanlp/ there is a documentation but it is password protected. I tried RedwoodConfiguration.empty().apply(); but that doesn't help either. The logging messages: Adding annotator tokenize Adding annotator ssplit Adding annotator pos Loading default properties from tagger edu/stanford/nlp/models

generally A head of a nounphrase is a noun which is rightmost of the NP as shown below tree is the head of the parent NP. So ROOT | S ___|________________________ NP | ___|_____________ | | PP VP | ____|____ ____|___ NP | NP | PRT ___|_______ | | | | DT JJ NN NN IN NNP VBD RP | | | | | | | | The old oak tree from India fell down Out[40]: Tree('S', [Tree('NP', [Tree('NP', [Tree('DT', ['The']), Tree('JJ', ['old']), Tree('NN', ['oak']), Tree('NN', ['tree'])]), Tree('PP', [Tree('IN', ['from']), Tree('NP', [Tree('NNP', ['India'])])])]), Tree('VP', [Tree('VBD', ['fell']), Tree('PRT', [Tree('RP', [

I've been doing a little comparison of these two packages and am not sure which direction to go in. What I am looking for briefly is: Named Entity Recognition (people, places, organizations and such). Gender identification. A decent training API. From what I can tell, OpenNLP and Stanford CoreNLP expose pretty similar capabilities. However, Stanford CoreNLP looks like it has a lot more activity whereas OpenNLP has only had a few commits in the last six months. Based on what I saw, OpenNLP appears to be easier to train new models and might be more attractive for that reason alone. However, my

I'm using Eclipse to run java program class, while I run it i got this error Exception in thread "main" java.lang.OutOfMemoryError: Java heap space then i changed the VM from the Properties > Run > VM Options, and I run the program again i got a new error, Error occurred during initialization of VM Incompatible initial and maximum heap sizes specified I'm trying to apply stanford libraries in my program, any idea how to solve this error . to change the VM for Eclipse you can change the amount of the MV from Windows> Preferences> Java> Installed JREs from there select the JRE and click edit,