Okay, I created the Jira to help, any ideas on how to augment the models for the name finder, or is that not exactly the right place....
The reason, is the dictionaries contain names and don't really apply to the models unless it needs to be there for the training. Any good ideas are welcome. James On 1/22/2011 8:12 PM, James Kosin (JIRA) wrote: > NameFinder and Dictionary Integration > ------------------------------------- > > Key: OPENNLP-78 > URL: https://issues.apache.org/jira/browse/OPENNLP-78 > Project: OpenNLP > Issue Type: New Feature > Components: Name Finder > Environment: Windows 7 > Reporter: James Kosin > Assignee: James Kosin > > > Now that we have a NameFinder Dictionary and improved NameFinder tools; it > would be nice to be able to integrate the dictionary and model to help > improve the finding of names. > This way, the name finder could be trained more on the surrounding text > instead of attempting to memorize common names in the news that occur > frequently. > > I've already got the name finder corpus, created the dictionaries with the > data from the US Census. > > I just need to implement some method to help train the model; or be able to > use the dictionaries post model creation to help with the finding of names. > >
