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Conditional Random Field (CRF) is a basic model of natural language processing, which is widely used in word segmentation, named entity recognition, part-of-speech tagging and other tagging scenarios.…
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Hi,
Firstly, thanks for opening the code!
Secondly, I want to know why using bilstm+bert rathan than only using bert?
Thanks!
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ValueError: Unknown layer: PositionEmbedding. Please ensure this object is passed to the `custom_objects` argument.
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Traceback (most recent call last):
File "/home/customer/qlf/code/Chinese-clinical-NER/bert_bilstm_crf/predict_bert.py", line 19, in
model=Bert_ner(config_path,checkpoint_path,dict_path).model…
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Hi, I try to run your pretrained SciCite model on my own data, my command is like
!allennlp predict $path_to_model $path_to_data \
$predictor \
scicite \
"{'model':{'data_format':''}}" \
$output…
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**You must follow the issue template and provide as much information as possible. otherwise, this issue will be closed.
请按照 issue 模板要求填写信息。如果没有按照 issue 模板填写，将会忽略并关闭这个 issue**
## Check List
Thanks…
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May I know how to implement the BiLSTM+BERT model? The paper mentions that they use the 'bert-base-uncased' pre-trained model, but I can not find the implementation part in the code.
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character: 动力电池总成系统种类物料编码压额定容量重产品号ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstvuwxyzAhkgKV-0123456789
sensitive: False
PAD: False
data_filtering_off: True
Transformation: TPS
FeatureExtraction:…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Next Word Predictor using Deep Learning
:red_circle: **Aim** : To find the generate word of the given s…
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Dear Sir,
I did not find file "bilstm_deepcnn.py" in folder "model".
Thank you,
Liem Truong