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It's been a long time since you published your paper. I think it is great research!
I think I found a bug, which baffled me.
I ran Read_Labels.ipynb to create *.source. When executing
cons, sum = concat_conversion(data, labels, label_type)
within the
transform_format(prefix, label_type = '_sent_c99_label') function
, the label_type goes into sep field in concat_conversion(data, labels, sep=' |', label_type = '_sent_c99_label') function. If you think this is a problem, I would appreciate it if you could fix it. I'm always rooting for you!
Hello, I'm leadawon. I'm a beginner in nlp.
It's been a long time since you published your paper. I think it is great research!
I think I found a bug, which baffled me.
I ran
Read_Labels.ipynb
to create*.source
. When executingcons, sum = concat_conversion(data, labels, label_type)
within the
transform_format(prefix, label_type = '_sent_c99_label')
function, the
label_type
goes intosep
field inconcat_conversion(data, labels, sep=' |', label_type = '_sent_c99_label')
function. If you think this is a problem, I would appreciate it if you could fix it. I'm always rooting for you!my sol.
cons, sums = concat_conversation(data, labels, label_type)
->cons, sums = concat_conversation(data, labels, " | " ,label_type)
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