Recursive Neural Networks

Recursive Deep Models for Semantic Compositionality

Stanford's Recursive Neural Tensor Network paper and Sentiment Treebank dataset — Richard Socher's EMNLP 2013 work that used tree-structured recursive neural networks to predict fine-grained sentiment at every node of a parse tree. A landmark paper that pushed NLP models toward compositionality.