Open simplysameer333 opened 6 years ago
http://aclweb.org/anthology/N18-2009 https://eilianyu.wordpress.com/2016/10/17/text-summarization-using-sequence-to-sequence-model-in-tensorflow-and-gpu-computing/ https://www.linkedin.com/pulse/summarization-abstraction-using-deep-networks-s-k-reddy https://medium.com/@amirsina.torfi/deep-leaning-for-natural-language-processing-ffec9f993b46
https://blog.fastforwardlabs.com/2016/08/25/new-tensorflow-code-for-text-summarization.html https://guillaumegenthial.github.io/sequence-to-sequence.html https://www.sciencedirect.com/science/article/pii/S1877050917320902/pdf?md5=9894150f396f1fc39a2580775ba40056&pid=1-s2.0-S1877050917320902-main.pdf https://towardsdatascience.com/seq2seq-model-in-tensorflow-ec0c557e560f http://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html https://www.dlology.com/blog/tutorial-summarizing-text-with-amazon-reviews/
improve over seq -> pointer home.iitk.ac.in/~soumye/cs396a/pres.pdf http://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html
FB word vector set https://fasttext.cc/docs/en/pretrained-vectors.html https://stackoverflow.com/questions/44693241/how-to-extract-a-word-vector-from-the-google-pre-trained-model-for-word2vec https://stats.stackexchange.com/questions/267169/how-to-use-pre-trained-word2vec-model https://fasttext.cc/docs/en/english-vectors.html https://stackoverflow.com/questions/771918/how-do-i-do-word-stemming-or-lemmatization https://github.com/JayParks/tf-seq2seq/blob/master/seq2seq_model.py
useful set https://github.com/shreyanse081/Text-Summarization/blob/master/summarize_reviews.ipynb https://github.com/anooshac/machine-learning-projects/blob/master/text-summarizer/seq2seq_wrapper.py https://towardsdatascience.com/seq2seq-model-in-tensorflow-ec0c557e560f Encoder - Decoder layers https://stackoverflow.com/questions/46021216/implementing-attention-with-beam-search-in-tensorflow https://stackoverflow.com/questions/43622778/tensorflow-sequence-to-sequence-model-using-the-seq2seq-api-ver-1-1-and-above https://rxnlp.com/how-rouge-works-for-evaluation-of-summarization-tasks/#.W9wTapP7TIU
http://aclweb.org/anthology/N18-2009 https://eilianyu.wordpress.com/2016/10/17/text-summarization-using-sequence-to-sequence-model-in-tensorflow-and-gpu-computing/ https://www.linkedin.com/pulse/summarization-abstraction-using-deep-networks-s-k-reddy https://medium.com/@amirsina.torfi/deep-leaning-for-natural-language-processing-ffec9f993b46
https://blog.fastforwardlabs.com/2016/08/25/new-tensorflow-code-for-text-summarization.html https://guillaumegenthial.github.io/sequence-to-sequence.html https://www.sciencedirect.com/science/article/pii/S1877050917320902/pdf?md5=9894150f396f1fc39a2580775ba40056&pid=1-s2.0-S1877050917320902-main.pdf https://towardsdatascience.com/seq2seq-model-in-tensorflow-ec0c557e560f http://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html https://www.dlology.com/blog/tutorial-summarizing-text-with-amazon-reviews/
improve over seq -> pointer home.iitk.ac.in/~soumye/cs396a/pres.pdf http://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html
FB word vector set https://fasttext.cc/docs/en/pretrained-vectors.html https://stackoverflow.com/questions/44693241/how-to-extract-a-word-vector-from-the-google-pre-trained-model-for-word2vec https://stats.stackexchange.com/questions/267169/how-to-use-pre-trained-word2vec-model https://fasttext.cc/docs/en/english-vectors.html https://stackoverflow.com/questions/771918/how-do-i-do-word-stemming-or-lemmatization https://github.com/JayParks/tf-seq2seq/blob/master/seq2seq_model.py
useful set https://github.com/shreyanse081/Text-Summarization/blob/master/summarize_reviews.ipynb https://github.com/anooshac/machine-learning-projects/blob/master/text-summarizer/seq2seq_wrapper.py https://towardsdatascience.com/seq2seq-model-in-tensorflow-ec0c557e560f Encoder - Decoder layers https://stackoverflow.com/questions/46021216/implementing-attention-with-beam-search-in-tensorflow https://stackoverflow.com/questions/43622778/tensorflow-sequence-to-sequence-model-using-the-seq2seq-api-ver-1-1-and-above https://rxnlp.com/how-rouge-works-for-evaluation-of-summarization-tasks/#.W9wTapP7TIU