Hyperparameter study

In order to improve and check the influence of the hyperparamenter for each tool, I ran the tools again with new configurations. Because the repeated 10-fold cross validation took a long time to run, I decided to perform only repeated validation, with a split of 70% training and 30% testing with the HAREM golden collection.

Hyperparameters for each tool

Tool	Parameter	Default	Values
Stanford CoreNLP	max iterations	infinite	-
OpenNLP	iterations	100	[70 - 130, 125, 135, 150 - 180, 200]
	cutoff	5	[0, 3 - 7, 10]
spaCy	iterations	10	[10 - 110]
NLTK	[ME] max iterations	10	[10 - 120]
	[ME] min_ll	0	-
	[ME] min_lldelta	0.1	[0 - 0.2 (0.05)]
	[DT] entropy cutoff	0.05	[0.03 - 0.13 (x0.01)]
	[DT] depth cutoff	100	2, 5, [10 - 120]
	[DT] support cutoff	10	3, [7 - 20]