Natural language processing (NLP) developments have made it possible for robots to read and analyze human with astounding precision, revolutionizing the field of text understanding. An overview current advancements in NLP approaches their effects on comprehension are provided this abstract. It examines significant fields including named entity identification, sentiment analysis, semantic questi...

Abstract Despite empirical successes of recurrent neural networks (RNNs) in natural language processing (NLP), theoretical understanding RNNs is still limited due to intrinsically complex non-linear computations. We systematically analyze RNNs’ behaviors a ubiquitous NLP task, the sentiment analysis movie reviews, via mapping between class called arithmetic circuits (RACs) and matrix product st...

Automatic Question Generation (AQG) is a research trend that enables teachers to create assessments with greater efficiency in right set of questions from the study material. Today's educational institutions require powerful tool correctly assess learner’s mastery concepts learned through materials. Objective type are an excellent method assessing learner's topic understanding learning process,...