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List out all the popular Techniques being used in NLP. Such examples would be like attention CNN replacing recurrent networks.
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https://github.com/keon/awesome-nlp http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/ https://www.tensorflow.org/tutorials/seq2seq https://github.com/facebookresearch/fastText
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https://arxiv.org/pdf/1408.5882v2.pdf http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/ Use a Word2Vec to do unsupervised pre-processing on the sentences before running it through a CNN for best performance. It doesn't have to be Word2Vec I don't think cause fastText is a better version of Word2Vec. Maybe we could use that? https://github.com/facebookresearch/fastText
Datasets https://github.com/niderhoff/nlp-datasets/blob/master/README.md
http://aclweb.org/anthology/
stoplime
samskhan
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List out all the popular Techniques being used in NLP. Such examples would be like attention CNN replacing recurrent networks.
The text was updated successfully, but these errors were encountered: