How to write scripts to keep punctuation in Stanford dependency parser - nlp

Question

In order to get some specific dependency information I write a java script to parse sentences rather than directly use ParserDemo.java that Stanford Parser 3.9.1 provided. But I found punctuation is missing after got typedDependencies. Is there any function to get punctuation in Stanford Parser?
I had to write a script to parse sentences myself for the reason that I need to create a SemanticGraph from a List of TypedDependencies, in order to use methods in SemanticGraph to get evey single tokens dependent information(include punctuation).
public class ChineseFileTest3 {
public static void main(String[] args){
String modelpath = "edu/stanford/nlp/models/lexparser/xinhuaFactored.ser.gz";
LexicalizedParser lp = LexicalizedParser.loadModel(modelpath);
String textFile = "data/chinese-onesent-unseg-utf8.txt";
demoDP(lp,textFile);
}
public static void demoDP(LexicalizedParser lp, String filename){
for(List<HasWord> sentence : new DocumentPreprocessor(filename)) {
Tree t = lp.apply(sentence);
ChineseGrammaticalStructure gs = new ChineseGrammaticalStructure(t);
Collection<TypedDependency> tdl = gs.typedDependenciesCollapsed();
System.out.println(tdl);
}
}
}

Answer 1

I would suggest not using the parser standalone but instead just running a pipeline. That will maintain the punctuation.
There is comprehensive documentation about using the Java API for pipelines here:
https://stanfordnlp.github.io/CoreNLP/api.html
You need to set the properties for Chinese. A quick way to do that is with this line of code
Properties props = StringUtils.argsToProperties("-props", "StanfordCoreNLP-chinese.properties");