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Title: GitHub - DTSSDUTDeepLearning/nlp-tutorial: Natural Language Processing Tutorial for Deep Learning Researchers

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Description: Natural Language Processing Tutorial for Deep Learning Researchers - DTSSDUTDeepLearning/nlp-tutorial

Open Graph Description: Natural Language Processing Tutorial for Deep Learning Researchers - DTSSDUTDeepLearning/nlp-tutorial

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https://github.com/DTSSDUTDeepLearning/nlp-tutorial#curriculum---example-purpose
https://github.com/DTSSDUTDeepLearning/nlp-tutorial#1-basic-embedding-model
NNLM(Neural Network Language Model)https://github.com/graykode/nlp-tutorial/tree/master/1-1.NNLM
A Neural Probabilistic Language Model(2003)http://www.jmlr.org/papers/volume3/bengio03a/bengio03a.pdf
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Word2Vec(Skip-gram)https://github.com/graykode/nlp-tutorial/tree/master/1-2.Word2Vec
Distributed Representations of Words and Phrases and their Compositionality(2013)https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf
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FastText(Application Level)https://github.com/graykode/nlp-tutorial/tree/master/1-3.FastText
Bag of Tricks for Efficient Text Classification(2016)https://arxiv.org/pdf/1607.01759.pdf
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TextCNNhttps://github.com/graykode/nlp-tutorial/tree/master/2-1.TextCNN
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LONG SHORT-TERM MEMORY(1997)https://www.bioinf.jku.at/publications/older/2604.pdf
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Seq2Seqhttps://github.com/graykode/nlp-tutorial/tree/master/4-1.Seq2Seq
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation(2014)https://arxiv.org/pdf/1406.1078.pdf
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Seq2Seq with Attentionhttps://github.com/graykode/nlp-tutorial/tree/master/4-2.Seq2Seq(Attention)
Neural Machine Translation by Jointly Learning to Align and Translate(2014)https://arxiv.org/abs/1409.0473
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