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awesome-text-summarization
Text summarization starting from scratch.
https://github.com/luopeixiang/awesome-text-summarization
- harmonic mean
- Annotated English Gigaword
- CNN/Daily Mail dataset
- DUC 2004
- CORNELL NEWSROOM
- Google Dataset
- Recent automatic text summarization techniques:a survey
- Automatic summarization
- Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
- Abstractive Document Summarization with a Graph-Based Attentional Neural Model
- Get To The Point: Summarization with Pointer-Generator Networks
- Guiding Generation for Abstractive Text Summarization based on Key Information Guide Network
- Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling
- Improving Neural Abstractive Document Summarization with Structural Regularization
- A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
- Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
- Improving Abstraction in Text Summarization
- Closed-Book Training to Improve Summarization Encoder Memory
- Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
- A Deep Reinforced Model for Abstractive Summarization
- Improving Abstraction in Text Summarization
- Generative Adversarial Network for Abstractive Text Summarization
- Summarization
- Multi-Reward Reinforced Summarization with Saliency and Entailment
- TextRank: Bringing Order intoTexts
- Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks
- A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS)
- Neural Document Summarization by Jointly Learning to Score and Select Sentences
- Neural Latent Extractive Document Summarization
- Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
- Bottom-Up Abstractive Summarization
- BANDITSUM: Extractive Summarization as a Contextual Bandit
- A recurrent neural network based sequence model for extractive summarization of documents
- Ranking sentences for extractive summarization with reinforcement learning
- Deep reinforcement learning for extractive document summarization
- Learning to Extract Coherent Summary via Deep Reinforcement Learning
- Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization
- Faithful to the Original: Fact Aware Neural Abstractive Summarization
- Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
- Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization
- Deep Recurrent Generative Decoder for Abstractive Text Summarization
- A Language Model based Evaluator for Sentence Compression
- MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization
- Unsupervised Semantic Abstractive Summarization
- Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion
- Improving Multi-Document Summarization via Text Classification
- Abstract Meaning Representation for Multi-Document Summarization.
- Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion.
- Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization.
- Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization.
- Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization.
- Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps
- Rouge: A package for automatic evaluation of summaries
- BLEU: a Method for Automatic Evaluation of Machine Translation
- Automated Summarization Evaluation with Basic Elements
- Evaluating Content Selection in Summarization: The Pyramid Method
- Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings
- Pruning Basic Elements for Better Automatic Evaluation of Summaries
- The guide to tackle with the Text Summarization
- A curated list of resources dedicated to text summarization
- The current state-of-the-art