Top Research Papers On Recurrent Neural Networks For NLP Enthusiasts

Recurrent Neural Networks (RNN) have become the de facto neural network architecture for Natural Language Processing (NLP) tasks. Over the last few years, recurrent architecture for neural networks has advanced quite a lot with NLP tasks — from Named Entity Recognition to Language Modeling through Machine Translation. As compared to Artificial Neural Networks (ANN), RNNs deal with sequential data, thanks to their “memory”. The success of RNN in NLP tasks can be ascribed to their ability to deal with sequential data, as opposed to ANNs which are known for not having any notion of time. Also, the only input ANNs take into consideration is the current example they are being fed, meanwhil