papers to read

1. Learning to Skim Text https://arxiv.org/pdf/1704.06877.pdf
2. Are Deep Neural Networks the Best Choice for Modeling Source Code? http://web.cs.ucdavis.edu/~devanbu/isDLgood.pdf
3. Pointer Networks https://arxiv.org/pdf/1506.03134.pdf
4. Incorporating Copying Mechanism in Sequence-to-Sequence Learning https://arxiv.org/pdf/1603.06393.pdf
5. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank https://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf

Rading List: https://arxiv.org/pdf/1808.09367.pdf

Summary: