文件名称:pytorch关系抽取
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用pytorch实现关系抽取,对于一些数据集acc是比较高的一种实现。
(系统自动生成,下载前可以参看下载内容)
下载文件列表
压缩包 : nlp-tutorial-master.zip 列表 nlp-tutorial-master/ nlp-tutorial-master/.gitignore nlp-tutorial-master/1-1.NNLM/ nlp-tutorial-master/1-1.NNLM/NNLM-Torch.ipynb nlp-tutorial-master/1-1.NNLM/NNLM-Torch.py nlp-tutorial-master/1-2.Word2Vec/ nlp-tutorial-master/1-2.Word2Vec/Word2Vec-Torch(Softmax).ipynb nlp-tutorial-master/1-2.Word2Vec/Word2Vec-Torch(Softmax).py nlp-tutorial-master/1-3.FastText/ nlp-tutorial-master/1-3.FastText/FastText.ipynb nlp-tutorial-master/1-3.FastText/test.txt nlp-tutorial-master/1-3.FastText/train.txt nlp-tutorial-master/2-1.TextCNN/ nlp-tutorial-master/2-1.TextCNN/TextCNN-Torch.ipynb nlp-tutorial-master/2-1.TextCNN/TextCNN-Torch.py nlp-tutorial-master/3-1.TextRNN/ nlp-tutorial-master/3-1.TextRNN/TextRNN-Torch.ipynb nlp-tutorial-master/3-1.TextRNN/TextRNN-Torch.py nlp-tutorial-master/3-2.TextLSTM/ nlp-tutorial-master/3-2.TextLSTM/TextLSTM-Torch.ipynb nlp-tutorial-master/3-2.TextLSTM/TextLSTM-Torch.py nlp-tutorial-master/3-3.Bi-LSTM/ nlp-tutorial-master/3-3.Bi-LSTM/Bi-LSTM-Torch.ipynb nlp-tutorial-master/3-3.Bi-LSTM/Bi-LSTM-Torch.py nlp-tutorial-master/4-1.Seq2Seq/ nlp-tutorial-master/4-1.Seq2Seq/Seq2Seq_Torch.ipynb nlp-tutorial-master/4-1.Seq2Seq/seq2seq_torch.py nlp-tutorial-master/4-2.Seq2Seq(Attention)/ nlp-tutorial-master/4-2.Seq2Seq(Attention)/Seq2Seq(Attention)-Torch.ipynb nlp-tutorial-master/4-2.Seq2Seq(Attention)/Seq2Seq(Attention)-Torch.py nlp-tutorial-master/4-3.Bi-LSTM(Attention)/ nlp-tutorial-master/4-3.Bi-LSTM(Attention)/Bi-LSTM(Attention)-Torch.ipynb nlp-tutorial-master/4-3.Bi-LSTM(Attention)/Bi-LSTM(Attention)-Torch.py nlp-tutorial-master/5-1.Transformer/ nlp-tutorial-master/5-1.Transformer/Transformer_Torch.ipynb nlp-tutorial-master/5-1.Transformer/Transformer_Torch.py nlp-tutorial-master/5-2.BERT/ nlp-tutorial-master/5-2.BERT/BERT-Torch.ipynb nlp-tutorial-master/5-2.BERT/BERT-Torch.py nlp-tutorial-master/LICENSE nlp-tutorial-master/README.md
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