Linking multiple name finder entities using OpenNLP
<p>First a little bit of context: I'm trying to identify street addresses in a corpus of documents and we decided that the obvious solution for this would be to use an NLP (Apache OpenNLP in this case) tool to achieve this and so far everything looks great although we still need to train the model with a lot of documents, but that's not really an issue. We improved the solution by adding a extra step for address validation by using the <a href="https://github.com/datamade/usaddress" rel="nofollow">USAddress</a> parser from Datamade. My biggest issue is the fact that the addresses by themselves are nothing without a location next to them, sometimes the location is specified in the text and we will assume that this happens quite often. </p>

<p>Here comes my question: Is there someway to use coreference to associate the entities in the text? Or better yet is there a way to annotate arbitrary words in the text and identify them as being one entity? </p>

<p>I've been looking at the Apache OpenNLP documentation but...it's pretty thin and I think it still needs some work. </p>