Table 2.

Accuracy results from the OpenNLP ME classifier. Rows represent training data; columns are test data. 10-fold cross validation with 80/20 data split for each fold

	GENIA	PTB	Mayo
(a) Accuracy for the openNLP sentence boundary detector
GENIA	0.986	0.646	0.821
PTB	0.967	0.944	0.940
Mayo	0.959	0.652	0.947
GENIA+PTB+Mayo	0.986	0.942	0.949
(b) Accuracy results for the openNLP POS TAGGER
GENIA	0.986	0.764	0.804
PTB	0.851	0.969	0.878
Mayo	0.812	0.844	0.940
GENIA+PTB+Mayo	0.984	0.969	0.936

ME, maximum entropy; POS, part-of-speech.