On 10/24/2014 06:20 PM, [email protected] wrote:
Hello all,
First off, thanks to all who contribute to this project! I've been tasked with doing some
research on Apache Stanbol, which uses OpenNLP, to see if it can fill some roles in a few
company projects. I've been reading about how to train a model for named entity
recognition and it seems like the simplest case of "I have a list of n proper nouns,
please just recognize them directly and nothing else" isn't addressed in the
documentation. Is this too simple a use case? Would I be doing better to just use a
simple substring match on a phrase then? I would later like to extend the model to
recognize things other than just simple proper nouns, but for now, that is the simplest
case I can think of.
The name finder is intended to find entities which are embedded in a
text, e.g. a news articles, medical records or company filings. It can
even recognize names
which it hasn't seen before by evaluating the context the entity appears in.
If you just have a list of proper nouns you might be better of using the
doccat package instead of the name finder. The doccat component tries to
assign the categories
for the entire input text, compared to the name finder which labels each
input token.
HTH,
Jörn
