opennlp

I want to convert Natural Language questions to SQL queries using opennlp Java library, i.e. Who won women figure skating in Sochi? should be converted to select name from winners where event='skating_woman' Anybody know which classes will be useful and how to achieve this? Also pasting code which I tried. I have converted question into statements and later into tokens. /////////1st part String paragraph = "Did Matt win the men slalom?"; InputStream is1 = new FileInputStream("bins/en-sent.bin"); SentenceModel model1 = new SentenceModel(is1); SentenceDetectorME sdetector = new

Using Machine translation, can I obtain a very compressed version of a sentence, eg. I would really like to have a delicious tasty cup of coffee would be translated to I want coffee Does any of the NLP engines provide such a functionality? I got a few research papers that does paraphase generation and sentence compression . But is there any library which has already implemented this? If your intention is to make your sentences brief without losing important idea from that sentences then you can do that by just extracting triplet subject-predicate-object. Talking about tools/engine, I recommend

I want to compute how similar two arbitrary sentences are to each other. For example: A mathematician found a solution to the problem. The problem was solved by a young mathematician. I can use a tagger, a stemmer, and a parser, but I don’t know how detect that these sentences are similar. These two sentences are not just similar, they are almost paraphrases , i.e., two alternative ways of expressing the same meaning. It is also a very simple case of paraphrase, in which both utterances use the same words with the only exception of one being in active form while the other is passive. (The two

Recently I have been trying to train n-gram entities with Stanford Core NLP. I have followed the following tutorials - http://nlp.stanford.edu/software/crf-faq.shtml#b With this, I am able to specify only unigram tokens and the class it belongs to. Can any one guide me through so that I can extend it to n-grams. I am trying to extract known entities like movie names from chat data set. Please guide me through in case I have mis-interpretted the Stanford Tutorials and the same can be used for the n-gram training. What I am stuck with is the following property #structure of your training file;

I'm using Spring MVC for my web project. I placed the model files inside the WEB-INF directory String taggerModelPath = "/WEB-INF/lib/en-pos-maxent.bin"; String chunkerModelPath = "/WEB-INF/lib/en-chunker.bin"; POSModel model = new POSModelLoader() .load(new File(servletContext.getResource(taggerModelPath).toURI().getPath())); This worked Windows environment. However when I deployed it on my remote Linux server I got an error HTTP Status 500 - Request processing failed; nested exception is opennlp.tools.cmdline.TerminateToolException: The POS Tagger model file does not exist! Path: /localhost

I am new to java opennlp and i am trying to implement a program that extracts city names from a file but i am testing my code on a string first and i get some errors the code is import java.io.FileInputStream; import java.io.FileNotFoundException; import java.io.IOException; import java.io.InputStream; import main.java.opennlp.tools.namefind.NameFinderME; import main.java.opennlp.tools.namefind.TokenNameFinderModel; import main.java.opennlp.tools.util.InvalidFormatException; import main.java.opennlp.tools.util.Span; import opennlp.tools.tokenize.Tokenizer; import opennlp.tools.tokenize