stanford-nlp

问题 I have got an array of strings String strarr[] = { "What a wonderful day", "beautiful beds", "food was awesome" }; I also have a trained dataset Room What a beautiful room Room Wonderful sea-view Room beds are comfortable Room bed-spreads are good Food The dinner was marvellous Food Tasty foods Service people are rude Service waitors were not on time Service service was horrible Pogrammatically I am unable to get the scores and labels of the strings I want to classify. If however, I am using

问题 I have got an array of strings String strarr[] = { "What a wonderful day", "beautiful beds", "food was awesome" }; I also have a trained dataset Room What a beautiful room Room Wonderful sea-view Room beds are comfortable Room bed-spreads are good Food The dinner was marvellous Food Tasty foods Service people are rude Service waitors were not on time Service service was horrible Pogrammatically I am unable to get the scores and labels of the strings I want to classify. If however, I am using

问题 I'm building a maven-based java application using corenlp 3.3.1. The salient pom.xml dependencies are <dependency> <groupId>edu.stanford.nlp</groupId> <artifactId>stanford-corenlp</artifactId> <version>3.3.1</version> </dependency> <dependency> <groupId>edu.stanford.nlp</groupId> <artifactId>stanford-corenlp</artifactId> <version>3.3.1</version> <classifier>models</classifier> </dependency> Running mvn dependency:tree gives: [INFO] +- log4j:log4j:jar:1.2.17:compile [INFO] +- commons-logging

问题 I have the feeling that the logging of the server is quite exhaustive. Is there a way to disable or reduce the logging output? It seems that if I send a document to the server it will write the content to stdout which might be a performance killer. Can I do that somehow? Update I found a way to suppress the output from the server. Still my question is how and if I can do this using a command line argument for the actual server. However for a dirty workaround it seems the following can ease

问题 I am trying the newest version of Stanford CoreNLP. When I extract location or organisation names, I see that every single word is tagged with the annotation. So, if the entity is "NEW YORK TIMES", then it is getting recorded as three different entities : "NEW", "YORK" and "TIMES". I find that the newest CoreNLP have "entitymentions" annotator. I think this annotator may help me to solve this problem. However, there is no usage instruction or example for this annotator. Could anyone give me

问题 I'm trying to use cross validation in Stanford NER. The feature factory lists 3 properties: numFolds int 1 The number of folds to use for cross-validation. startFold int 1 The starting fold to run. numFoldsToRun int 1 The number of folds to run. which I think should be used for cross validation. But I don't think they actually work. Setting numFolds to 1 or 10 doesn't change the running time for training at all. And strangely, using numFoldsToRun gives the following warning: Unknown property:

问题 coreNLP is an R package for interfacing with Standford's CoreNLP Java libraries. The first line one must execute (after loading the appropriate packages with the library() command) is initCoreNLP() . Unfortunately, this results in the following error: Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... Error in rJava::.jnew("edu.stanford.nlp.pipeline.StanfordCoreNLP", basename(path)) : java.lang.OutOfMemoryError: GC overhead limit exceeded Note,

问题 I am trying to add a new annotator in Stanford CoreNLP according to the instructions in http://nlp.stanford.edu/downloads/corenlp.shtml. "Adding a new annotator StanfordCoreNLP also has the capacity to add a new annotator by reflection without altering the code in StanfordCoreNLP.java . To create a new annotator, extend the class edu.stanford.nlp.pipeline.Annotator and define a constructor with the signature (String, Properties). Then, add the property customAnnotatorClass. FOO=BAR to the

问题 I launch Stanford Core NLP server using the following command (on Ubuntu 16.04): java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000 I would like to kill this server once I am done using it. Simply closing terminal does not help. It does not release memory. Is there way to kill it and release memory without rebooting computer? 回答1: You can always CTRL-C in the terminal window to stop the server. You could also ps aux | grep StanfordCoreNLPServer to

问题 I launch Stanford Core NLP server using the following command (on Ubuntu 16.04): java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000 I would like to kill this server once I am done using it. Simply closing terminal does not help. It does not release memory. Is there way to kill it and release memory without rebooting computer? 回答1: You can always CTRL-C in the terminal window to stop the server. You could also ps aux | grep StanfordCoreNLPServer to