chris-tng / Deep_Learning_NLP

Implementations of popular Deep Learning models for NLP

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Deep Learning for NLP

[In Progress] My implementations of popular Deep Learning algorithms for NLP. This is intended for personal research only.

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  • Seq2Seq:

[Sutskever et al.2014] I. Sutskever, O. Vinyals, and Q. V. Le. 2014. Sequence to sequence learning with neural networks.

  • Global and Local attention in stacked LSTM:

[Luong et al.2015] T. Luong, H. Pham, and C. D. Manning. 2015. Effective Approaches to Attention-based Neural Machine Translation.

  • RNN learning word-embedding:

[Mesnil et al.2013] G. Mesnil, X. He, L. Deng and Y. Bengio. Investigation of Recurrent-Neural-Network Architectures and Learning Methods for Spoken Language Understanding.

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Implementations of popular Deep Learning models for NLP

License:MIT License


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