stanford-nlp

问题 I am trying to extract Arabic proper names from a text using Stanford Parser. for example if I have an input sentence: تكريم سعد الدين الشاذلى using the Arabic Stanford parser, the tree diagram will be: (ROOT (NP (NN تكريم) (NP (NNP سعد) (DTNNP الدين) (NNP الشاذلى)))) I want to extract the proper name: سعد الدين الشاذلى which have the sub-tree: (NP (NNP سعد) (DTNNP الدين) (NNP الشاذلى)) I have tried this: similar question but there is some thing wrong in this line: List<TaggedWord>

问题 Looking at the Penn Treebank tagset (http://web.mit.edu/6.863/www/PennTreebankTags.html#RB) there is a section called "Function Tags" that would be extremely helpful for a project I am working on. I know the Stanford Parser uses the Penn Treebank tagset for its EnglishPCFG grammar so I am hoping there is support for Function Tags. Using the Stanford Parser and NLTK I have parsed sentences with Clause, Phrase and Word level tags as well as Universal Dependencies, but I have not found a way to

问题 I use regexner to find named entities that are not in the default set of Stanford NLP and it works fine. However, when I add ner annotator, it annotates tokens that match my regular expression with default tags. How can I overwrite default annotations? def createNLPPipelineRegex(): StanfordCoreNLP = { val props = new Properties() props.put("regexner.mapping", "regex.txt") props.put("annotators", "tokenize, ssplit, regexner, pos, lemma, ner") props.put("tokenize.options", "untokenizable

问题 I'm having trouble using Stanford Lemmatizer. As i'm using Intellij IDE, i try to import it via the Dependencies Windows, but i can't access all the class by that way. Is there a way to import stanford-english-corenlp-models-current.jar & stanford-corenlp-models-current.jar correctly on Intellij? 回答1: As guys mentioned above,you just import the wrong file First,download the CoreNLP 3.7.0(beta) In the screen shot above,click the red button to download the file,which covers all the things to

问题 I have a resource where i know exactly the types of words. i have to lemmatize them but for correct results, i have to manually tag them. i could not find any code for manual tagging of words. i m using following code but it returns wrong result. i.e "painting" for "painting" where i expect "paint". *//...........lemmatization starts........................ Properties props = new Properties(); props.put("annotators", "tokenize, ssplit, pos, lemma"); StanfordCoreNLP pipeline = new

问题 Can someone please elaborate on how to obtain " pharse level dependency" using the Stanfords's Natural Language Processing Lexical Parser- open source Java code? http://svn.apache.org/repos/asf/nutch/branches/branch-1.2/src/plugin/lib-http/src/java/org/apache/nutch/protocol/http/api/RobotRulesParser.java http://docs.mongodb.org/manual/reference/sql-comparison/ such as pharse dependency The accident --------->happened falling ---------> as the night ---------->falling as such as many more...

问题 When using the parser or for the matter any of the Annotation in Core NLP, is there a way to access the probability or the margin of error? To put my question into context, I am trying to understand if there is a way programmatically to detect a case of ambiguity. For instance in the sentence below the verb desire is detected as a noun. I would like to be able to know so kind of measure I can access or calculate from the Core NLP APi to tell me there could be an ambiguity. (NP (NP (NNP

问题 I downloaded the Stanford parser 2.0.5 and use Demo2.java source code that is in the package, but After I compile and run the program it has many errors. A part of my program is: public class testStanfordParser { /** Usage: ParserDemo2 [[grammar] textFile] */ public static void main(String[] args) throws IOException { String grammar = args.length > 0 ? args[0] : "edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz"; String[] options = { "-maxLength", "80", "-retainTmpSubcategories" };

问题 I have trained a custom classifier to understand named entities in finance domain. I want to generate custom training data like shown in below link http://cogcomp.cs.illinois.edu/Data/ER/conll04.corp I can mark the custom relation by hand but want to generate the data format like conll first with my custom named entities. I have also tried the parser in the following way but that does not generate the relation training data like Roth and Yih's data mentioned in link https://nlp.stanford.edu

问题 I use the following command to serve a corenlp server for German language models which are downloaded as jar in the classpath , but it does not output german tags or parse but loads only english models: java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -props ./german.prop german.prop contents: annotators = tokenize, ssplit, pos, depparse, parse tokenize.language = de pos.model = edu/stanford/nlp/models/pos-tagger/german/german-hgc.tagger ner.model = edu/stanford/nlp/models