Comments (3)
thanks, I solve it by remove those preprocess data. And binary/fine-grain classification work with result as in original paper
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well, it should like in paper ... :|
but i haven't focus on fine grained for a while
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I think you need to fix this
#3
and
#2 (delete all temp data, because you might use binary preprocess data for fine grain)
please let me know if it work
by the way, please confirm if binary classification work with result as in paper
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Related Issues (12)
- "None" in training labels HOT 2
- Constituency trees with only left child
- error : edu.stanford.nlp.trees do not exist HOT 1
- ClassNotFoundException when producing dependency parsers HOT 1
- bug in model dependency HOT 2
- bug in testing for fine-grain classification HOT 1
- Doubts about the BInaryTreeLSTM implementation HOT 7
- Problem with Binary classification HOT 2
- Index out of range error for very common case HOT 4
- javac can'not find lib/*.java HOT 3
- What is getParameters() used for? HOT 2
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