########################################################################### # Options for CRF model # # using '#' character at the beginning of each comment line # # for more option-value pairs, please see the manual document # ########################################################################### # training data file traindata_file=train.tagged # testing data file testdata_file=test.tagged # order = 1 (first-order Markov CRFs), order = 2 (second-order Markov CRFs) order=2 # number of training iterations num_iterations=120 # rare (cut-off) threshold for features f_rare_threshold=1 # rare (cut-off) threshold for context predicates cp_rare_threshold=1 # initial feature weights, i.e., lambda_1 = 0.05, lambda_2 = 0.05, etc. init_lambda_val=0.05 # sigma_square for smoothing the CRF model (default value is 100) #sigma_square=10 # performing label-based evaluation during training evaluate_during_training=1 # performining chunk-based evaluation during training chunk_evaluate_during_training=1 # label style (chunktype can be IOB1, IOB2, IOE1, or IOE2) chunktype=IOB2 chunk=b-np:i-np:np