This repository contains implementations of abstractive text summarization using Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU),Recurrent Neural Networks with Reinforcement learning ...

Abstract: Automatic text summarization is the refinement of text content. Traditional methods simply treat text as a sequence and use encoders such as RNN to learn text semantic features. These ...

Although fairly effective for evaluating extractive text summarization systems, standard evaluation metrics like BLEU and ROUGE become futile when comparing semantic information between two texts, i.e ...