Java Reference
In-Depth Information
can be trained. This conversion is performed by the
NameSampleDataStream
class as
shown here. A
NameSample
object holds the names of the entities found in the text:
ObjectStream<NameSample> sampleStream =
new NameSampleDataStream(lineStream);
The
train
method can now be executed as follows:
TokenNameFinderModel model = NameFinderME.train(
"en", "person", sampleStream,
Collections.<String, Object>emptyMap(), 100, 5);
The arguments of the method are as detailed in the following table:
Parameter
Meaning
Language Code
"en"
Entity type
"person"
sampleStream
Sample data
Resources
null
The number of iterations
100
The cutoff
5
The model is then serialized to an output file:
model.serialize(modelOutputStream);
The output of this sequence is as follows. It has been shortened to conserve space. Basic
information about the model creation is detailed:
Indexing events using cutoff of 5
Computing event counts... done. 53 events
Indexing... done.
