Comments (1)
Hi, I found you opened several issues here, please try vanilla-ner
. It should be the most simple one for doing some experiments.
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Related Issues (20)
- train_w.py Error HOT 2
- Mismatch of performance between this repository and the paper HOT 6
- How can I include handcrafted features in NER ?
- evaluator.calc_score HOT 3
- where is the dictory './data'
- AttributeError: module 'torch._C' has no attribute '_cuda_setDevice' HOT 3
- KeyError in predictor.py class predict HOT 1
- Question about POS performance HOT 2
- How to deal with sentences with different lengths?
- train_w.py Error, TypeError: can't convert np.ndarray of type numpy.object_ HOT 2
- Is word level bi-lstm reflected in the code ? HOT 1
- About the score given a sequence and a target
- anyone can update to pytorch1.0
- Missing "eval_batch" in train_w.py line 163 HOT 1
- dropout
- RuntimeError: expand(torch.LongTensor{[50, 1]}, size=[50]): the number of sizes provided (1) must be greater or equal to the number of dimensions in the tensor (2)
- How do you tune the model to get a large # of keywords outputted by the CRF layer? HOT 1
- Incorrect Precision Output for test_rec HOT 1
- Line 530 in utils.py is too slow with huge datasets HOT 1
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