Hi, I am new to opennlp, and currently is trying to learn how to train a ner model. I have 2 questions,
1. In case I am using a custom set of features for training, do I have to feed that set of features to NameFinderMe when I load the trained model. I think not, as the xml descriptor has been part of artifactMap which is persisted, but I may be wrong. 2. In the documentation on your web, you give an example of xml desc file for training a ner model, which includes a few "cluster" based features. These features need dictionary objects as part of the instantiation from the resources. Apart from BrownCluster which is mentioned in the javadoc that one should download a document from metaoptimize.com/projects/wordreprs/. Do I just need to load that file into BrownCluster directly? That link is unreachable at the moment, is it already dead forever? And how about the other clusters? How can one create a word2vec cluster, and what is clark.cluster ?? This is a long question. I really appreciate your patience of reading and responding it!
