private object StanfordNLP(string input)
{
string npath = Directory.GetCurrentDirectory();
string NLPquery = "";
string getNoun = "";
bool compound = false;
var text = input;
// Annotation pipeline configuration
var props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
props.setProperty("pos.model", npath + @"\edu\stanford\nlp\models\pos-tagger\english-bidirectional\english-bidirectional-distsim.tagger");
props.setProperty("ner.model", npath + @"\edu\stanford\nlp\models\ner\english.all.3class.distsim.crf.ser.gz");
props.setProperty("parse.model", npath + @"\edu\stanford\nlp\models\lexparser\englishPCFG.ser.gz");
props.setProperty("dcoref.demonym", npath + @"\edu\stanford\nlp\models\dcoref\demonyms.txt");
props.setProperty("dcoref.states", npath + @"\edu\stanford\nlp\models\dcoref\state-abbreviations.txt");
props.setProperty("dcoref.animate", npath + @"\edu\stanford\nlp\models\dcoref\animate.unigrams.txt");
props.setProperty("dcoref.inanimate", npath + @"\edu\stanford\nlp\models\dcoref\inanimate.unigrams.txt");
props.setProperty("dcoref.male", npath + @"\edu\stanford\nlp\models\dcoref\male.unigrams.txt");
props.setProperty("dcoref.neutral", npath + @"\edu\stanford\nlp\models\dcoref\neutral.unigrams.txt");
props.setProperty("dcoref.female", npath + @"\edu\stanford\nlp\models\dcoref\female.unigrams.txt");
props.setProperty("dcoref.plural", npath + @"\edu\stanford\nlp\models\dcoref\plural.unigrams.txt");
props.setProperty("dcoref.singular", npath + @"\edu\stanford\nlp\models\dcoref\singular.unigrams.txt");
props.setProperty("dcoref.countries", npath + @"\edu\stanford\nlp\models\dcoref\countries");
props.setProperty("dcoref.extra.gender", npath + @"\edu\stanford\nlp\models\dcoref\namegender.combine.txt");
props.setProperty("dcoref.states.provinces", npath + @"\edu\stanford\nlp\models\dcoref\statesandprovinces");
props.setProperty("dcoref.singleton.predictor", npath + @"\edu\stanford\nlp\models\dcoref\singleton.predictor.ser");
props.setProperty("dcoref.big.gender.number", npath + @"\edu\stanford\nlp\models\dcoref\gender.map.ser.gz");
props.setProperty("sutime.rules", npath + @"\edu\stanford\nlp\models\sutime\defs.sutime.txt, " + npath + @"\edu\stanford\nlp\models\sutime\english.holidays.sutime.txt, " + npath + @"\edu\stanford\nlp\models\sutime\english.sutime.txt");
props.setProperty("sutime.binders", "0");
props.setProperty("ner.useSUTime", "0");
var pipeline = new StanfordCoreNLP(props);
// Annotation
var annotation = new Annotation(text);
pipeline.annotate(annotation);
List <string> NLPDATA = new List <string>();
using (var stream = new ByteArrayOutputStream())
{
// pipeline.prettyPrint(annotation, new PrintWriter(stream));
pipeline.conllPrint(annotation, new PrintWriter(stream));
string output = stream.toString();
Console.WriteLine(output);
string[] lines = Regex.Split(output, "[\r\n]+");
// Console.WriteLine(lines.Length);
string[][] wordMatrix = new string[lines.Length][];
for (var i = 0; i < wordMatrix.Length; i++)
{
wordMatrix[i] = new string[10];
string[] words = Regex.Split(lines[i], "[^a-zA-Z0-9]+");
// Console.WriteLine(words.Length);
for (int ii = 0; ii < words.Length; ii++)
{
wordMatrix[i][ii] = words[ii];
}
}
for (int i = 0; i < lines.Length; i++)
{
for (int ii = 0; ii < wordMatrix[i].Length; ii++)
{
if (wordMatrix[i][ii] == "VB" || wordMatrix[i][ii] == "RP" || wordMatrix[i][ii] == "NN" || wordMatrix[i][ii] == "NNP")
{
NLPDATA.Add(wordMatrix[i][ii] + " " + wordMatrix[i][ii - 1] + " " + wordMatrix[i][6]);
NLPquery = NLPquery + " " + wordMatrix[i][ii - 1];
}
if (wordMatrix[i][ii] == "NN" || wordMatrix[i][ii] == "NNP" || wordMatrix[i][ii] == "NNS")
{
if (wordMatrix[i][6] == "compound" || wordMatrix[i][6] == "xcomp")
{
getNoun = wordMatrix[i][ii - 1];
compound = true;
}
if (wordMatrix[i][6] == "dep" && compound != true && wordMatrix[i][ii] == "NN")
{
getNoun = wordMatrix[i][ii - 1];
}
if (wordMatrix[i][6] == "dobj" && compound != true && wordMatrix[i][ii] == "NN")
{
getNoun = wordMatrix[i][ii - 1];
}
}
}
}
stream.close();
}
//Intent, Name,
NLP nLP = new NLP();
// nLP.getAnswer(NLPquery.Trim());
// Console.WriteLine(nLP.getProbability(getNoun.Trim()).ToString());
string action = nLP.getAnswer(NLPquery.Trim());
string nprob = nLP.getProbability(getNoun.Trim()).ToString();
string aprob = nLP.getProbability(NLPquery.Trim()).ToString();
if (action == getNoun)
{
nprob = "0";
aprob = "0";
}
compound = false;
return(new { intent = action, noun = getNoun, action_prob = aprob, noun_prob = nprob });
}
