user defined feature in CRF++ - nlp

Question

I tried to add more feature to CRF++ template.
According to How can I tell CRF++ classifier that a word x is captilized or understanding punctuations?
training sample
The DT 0 1 0 1 B-MISC
Oxford NNP 0 1 0 1 I-MISC
Companion NNP 0 1 0 1 I-MISC
to TO 0 0 0 0 I-MISC
Philosophy NNP 0 1 0 1 I-MISC
feature template
# Unigram
U00:%x[-2,0]
U01:%x[-1,0]
U02:%x[0,0]
U03:%x[1,0]
U04:%x[2,0]
U05:%x[-1,0]/%x[0,0]
U06:%x[0,0]/%x[1,0]
U07:%x[-2,0]/%x[-1,0]/%x[0,0]
#shape feature
U08:%x[-2,2]
U09:%x[-1,2]
U10:%x[0,2]
U11:%x[1,2]
U12:%x[2,2]
B
The traing phase is ok. But I get no ouput with crf_test
tilney#ubuntu:/data/wikipedia/en$ crf_test -m validation_model test.data
tilney#ubuntu:/data/wikipedia/en$
Everything works fine if ignore the shape fearture above. where did I go wrong?

Answer 1

I figured this out. It's the problem with my test data. I thought that every feature should be taken from the trained model, so I only have two columns in my test data: word tag, which turns out that the test file should have the exact same format as the training data do!