// Sample from https://stanfordnlp.github.io/CoreNLP/corenlp-server.html
static void Main()
{
// creates a StanfordCoreNLP object with POS tagging, lemmatization, NER, parsing, and coreference resolution
var props = new java.util.Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
StanfordCoreNLPClient pipeline = new StanfordCoreNLPClient(props, "http://localhost", 9000, 2);
// read some text in the text variable
var text = "Kosgi Santosh sent an email to Stanford University.";
// create an empty Annotation just with the given text
Annotation document = new Annotation(text);
// run all Annotators on this text
pipeline.annotate(document);
var sentences = document.get(sentencesAnnotationClass) as java.util.AbstractList;
foreach (CoreMap sentence in sentences)
{
var tokens = sentence.get(tokensAnnotationClass) as java.util.AbstractList;
Console.WriteLine("----");
foreach (CoreLabel token in tokens)
{
var word = token.get(textAnnotationClass);
var pos = token.get(partOfSpeechAnnotationClass);
var ner = token.get(namedEntityTagAnnotationClass);
Console.WriteLine("{0}\t[pos={1};\tner={2};", word, pos, ner);
}
}
}
static Client()
{
// Create a StanfordCoreNLPClient object with POS tagging, lemmatization, NER, parsing, and coreference resolution
java.util.Properties props = new java.util.Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
props.setProperty("coref.algorithm", "neural");
ServerPipeline = new StanfordCoreNLPClient(props, Properties.Settings.Default.CoreNLP_ServerHost, Properties.Settings.Default.CoreNLP_ServerPort, ClientThreads);
}
