textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior Neural NLP Models of Information Extraction Document Informed Neural Autoregressive Topic Models with Distributional Prior Neural Relation ExtractionWithin and Across Sentence Boundaries Deep Learning for Information Extraction in Natural Language Text textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts Joint Bootstrapping Machines for High Confidence Relation Extraction RNN-RSM (Topics over Time) | NAACL2018 conference talk Lecture 07: Representation and Distributional Learning by Pankaj Gupta Lecture 05: Recurrent Neural Networks / Deep Learning by Pankaj Gupta 
