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@@ -26,4 +26,4 @@ There are plenty of other tutorials out there, but they all seem to have one of
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# References:
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* I learned a lot about deep structure prediction at EMNLP 2016 from [this](https://github.com/clab/dynet_tutorial_examples) tutorial on [Dynet](http://dynet.readthedocs.io/en/latest/), given by Chris Dyer and Graham Neubig of CMU and Yoav Goldberg of Bar Ilan University. Dynet is a great package, especially if you want to use C++ and avoid dynamic typing. The final BiLSTM CRF exercise and the character-level features exercise are things I learned from this tutorial.
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* A great book on structure prediction is [Linguistic Structure Prediction](https://www.amazon.com/Linguistic-Structure-Prediction-Synthesis-Technologies/dp/1608454053/ref=sr_1_1?ie=UTF8&qid=1489510387&sr=8-1&keywords=Linguistic+Structure+Prediction) by Noah Smith. It doesn't use deep learning, but that is ok.
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* The best deep learning book I am aware of is [Deep Learning](deeplearningbook.org), which is by some major contributors to the field and very comprehensive, although there is not an NLP focus. It is free online, but worth having on your shelf.
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* The best deep learning book I am aware of is [Deep Learning](https://deeplearningbook.org), which is by some major contributors to the field and very comprehensive, although there is not an NLP focus. It is free online, but worth having on your shelf.
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