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Abstract:This tool was develop for NER by three model #BiLSTM+CRF https://arxiv.org/abs/1508.01991 #BiLSTM+lstm https://arxiv.org/pdf/1706.05075.pdf #BiLSTM+Attention this model is often used in machine translation and Semantic generation. #indrnn+CRF C:\Users\zhouk\PycharmProjects\TensorFlow\TEST_lstm_MODEL\0_0_1\BiLSTM_decode\README.txt I use F score for each tags' evaluate. This Model still need some Improve. ##Part1:data_preprocess.py was used to preprocess raw data. raw data type: The O dog B-animal is O fly B-action The O dog B-animal is O fly B-action The O dog B-animal is O fly B-action ##Part2:AEP_model.py was use to train defferent model. ##eval_model.py was used to eval our model. Directionary :rnn_cell contain My_LSTM.py ,this was a LSTM cell realized by some tensorflow ops. My_LSTM.py ,this was a attention cell realized by others. indrnn.py ,this realize inrnn from https://github.com/batzner/indrnn Others ,not important
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