stanford-nlp

I'm using the Stanford CoreNLP parsers to run through some text and there are date phrases, such as 'the second Monday in October' and 'the past year'. The library will appropriately tag each token as a DATE named entity, but is there a way to programmatically get this whole date phrase? And it's not just dates, ORGANIZATION named entities will do the same ("The International Olympic Committee", for example, could be one identified in a given text example). String content = "Thanksgiving, or Thanksgiving Day (Canadian French: Jour de" + " l'Action de grâce), occurring on the second Monday in

the similar question has been asked here but i cant find any relevant answer of it so i am trying again. I am able to get NER and Dependency tree using the library. Now what i looking for is that i want to extract entities with the relationship between the entities. For example , "flipkart has invested in myntra" so i should be able to get entity1 as "flipkart " and entity2 as "myntra" and "investor" as the relation .or similar kind of structure. I am not able to get correct tool for doing the same. I neee some guidelines guys, how to achieve this?. Thanks in advance You can train your own

I'm using Stanford NLP to do POS tagging for Spanish texts. I can get a POS Tag for each word but I notice that I am only given the first four sections of the Ancora tag and it's missing the last three sections for person, number and gender. Why does Stanford NLP only use a reduced version of the Ancora tag? Is it possible to get the entire tag using Stanford NLP? Here is my code (please excuse the jruby...): props = java.util.Properties.new() props.put("tokenize.language", "es") props.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse") props.put("ner.model", "edu/stanford/nlp/models