Sheng, Regarding 2, take a look at this like, it can help you: https://github.com/ragerri/cluster-preprocessing
Regarding 1, you are right. If you trained with a custom feature generator it will be applied both in training and runtime. William 2017-07-14 16:59 GMT-03:00 Sheng <sheng...@gmail.com>: > 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! >
