Comments (1)
If you have a sentence-level task, I believe it's worth to try.
from ordered-neurons.
Related Issues (20)
- How to train using main.py using multiple GPUs? HOT 2
- How to train parsing HOT 2
- What does the chunk_size mean in the ONLSTMStack object? HOT 1
- question about on-lstm hidden states initialization ? HOT 1
- nltk.corpus.ptb.fileids() is empty? HOT 8
- checkpoint download HOT 2
- Question about dataset construction HOT 2
- ZeroDivisionError test_phrase_grammar HOT 5
- Did you use the test data during training in the Unsupervised Parsing experiment ? HOT 1
- CAN RUN main.py without GPU. HOT 2
- about chunk_size, HOT 1
- The utils/batchify() can not work for unsupervised parsing
- two evaluation result in test_phrase_grammar.py, which is reported in the paper? HOT 1
- Data Directory used when running test_phrase_grammar.py HOT 9
- Default Parameters
- cur_loss suddenly increases to a larger number HOT 1
- Question about the model design details HOT 1
- question about visualization HOT 2
- question about unidirectional HOT 3
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from ordered-neurons.