A curated list of Multi-Document Summarization papers, articles, tutorials, slides , datasets, and projects.
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Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization | [EMNLP 2019]
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Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model | [ACL 2019]
- Alex-Fabbri/Multi-News | [pytorch]
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Hierarchical Transformers for Multi-Document Summarization | [ACL 2019]
- nlpyang/hiersumm | [pytorch]
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Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization | [ACL 2019]
- ucfnlp/summarization-dpp-capsnet | [keras]
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Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization | [NAACL 2019]
- UKPLab/naacl2019-cmaps-lshcw | [java]
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Unsupervised Aspect-Based Multi-Document Abstractive Summarization | [EMNLP 2019]
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MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization | [ICML 2019]
- sosuperic/MeanSum [pytorch]
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Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion | [COLING 2018]
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Unsupervised Semantic Abstractive Summarization | [ACL 2018]
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Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization | [AAAI 2017]
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An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model | [COLING 2016]
- Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model | [ACL 2019]
- Alex-Fabbri/Multi-News | [pytorch]
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An Entity-Driven Framework for Abstractive Summarization | [EMNLP 2019]
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Unified Language Model Pre-training for Natural Language Understanding and Generation | [NeurIPS 2019]
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On Extractive and Abstractive Neural Document Summarization with Transformer Language Models | [2019/09]
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Fine-tune BERT for Extractive Summarization | [2019/09]
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Guiding Extractive Summarization with Question-Answering Rewards | [NAACL 2019]
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Abstractive Text Summarization by Incorporating Reader Comments | [AAAI 2019]
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Structured Neural Summarization | [ICLR 2019]
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A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss | [ACL 2018]
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Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization | [ACL 2018]
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Generating Topic-Oriented Summaries Using Neural Attention | [NAACL 2018]
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Abstractive Document Summarization with a Graph-Based Attentional Neural Model | [ACL 2017]
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SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders | [2019/10]
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BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle | [EMNLP 2019]
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Sentence Centrality Revisited for Unsupervised Summarization | [ACL 2019]
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Simple Unsupervised Summarization by Contextual Matching | [ACL 2019]
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SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression | [NAACL 2019]
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Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks | [EMNLP 2018]
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Unsupervised Text Summarization using Sentence Embeddings | [2018/08]
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LCSTS: A Large Scale Chinese Short Text Summarization Dataset
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Overview of the NLPCC 2018 Shared Task: Single Document Summarization
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Overview of the NLPCC 2017 Shared Task: Single Document Summarization
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Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks [EMNLP 2019]
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Semantic Similarity in Sentences and BERT | [2019/09]
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Neural Text Summarization: A Critical Evaluation | [EMNLP 2019]
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Answers Unite! Unsupervised Metrics for Reinforced Summarization Models | [EMNLP 2019]
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