Text Summarization with Deep Learning

• Text Summarization with Tensorflow
• Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
• Sequence-to-Sequence with Attention Model for Text Summarization
• A Neural Attention Model for Abstractive Sentence Summarization
• Generating News Headlines with Recurrent Neural Networks
• ATTSum: Joint Learning of Focusing and Summarization with Neural Attention
• A Convolutional Attention Network for Extreme Summarization of Source Code
• Sequence-to-Sequence RNNs for Text Summarization
• Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network
• LCSTS: A Large Scale Chinese Short Text Summarization Dataset
• Deep Dependency Substructure-Based Learning for Multidocument Summarization
• Ranking with Recursive Neural networks and ITs Application to Multi-document Summarization
• Query-oriented Unsupervised Multi-document Summarization via Deep Learning
• Abstractive Multi-Document Summarization via Phrase Selection
• Modelling, Visualising and Summarizing Documents with a Single Convolutional Neural Network
• SRRank: Leveraging Semantic Roles for Extractive Multi-Document Summarization