 Recursive auto-encoders built atop word embeddings can assess sentence similarity and detect paraphrasing.Deep neural architectures provide the best results for constituency parsing, sentiment analysis, information retrieval, spoken language understanding, machine translation, contextual entity linking, writing style recognition, Text classification and others.Recent developments generalize word embedding to sentence embedding.