title: How to identify n-gram before tokenization in stanford core-nlp?
body: <p>I am trying to use the core-nlp annotation pipeline with default settings all through from tokenizing until ner_tags. I did observe that the "tokenizer" module is identifying , say "Vice President" as two individual tokens {vice,President} resulting in ner_tags identification as {o,TITLE} instead of {Vice President} and  {TITLE}. How can I get the tokenizer to identify "Vice president" as one single token , that help Ner_Tags to identify titles appropriately.</p>