Hi Everyone, Looking at the the Name Finder and the chunker tool, I wonder why they do not use the same training format?
For exemple, this Mr. <START:person> Pierre Vinken <END> is chairman may also be represented like this Mr. NNP O Pierre NNP B-person Vinken NNP I-person is VBZ O chairman NN O I have noted that the Name Finder API offers the possibility to custom the feature generation to consider for the training, but both the Name Finder and the chunker use the same implementation of the learning algorithm don't they ? /Nicolas
