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awesome-Multi-Document-Summarization
A curated list of Multi-Document Summarization papers, articles, tutorials, slides , datasets, and projects
https://github.com/guan-yuan/awesome-Multi-Document-Summarization
Last synced: 3 days ago
JSON representation
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Papers
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Multi-Document-Summarization
- Alex-Fabbri/Multi-News
- nlpyang/hiersumm
- ucfnlp/summarization-dpp-capsnet
- UKPLab/naacl2019-cmaps-lshcw
- sosuperic/MeanSum
- Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization
- Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
- Hierarchical Transformers for Multi-Document Summarization
- Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization
- Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization
- Unsupervised Aspect-Based Multi-Document Abstractive Summarization
- MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization
- Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization
- An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model
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Single-Document-Summarization (as references)
- microsoft/unilm
- nlpyang/BertSum
- lancopku/superAE
- mswellhao/PacSum
- jatana-research/email-summarization
- isnowfy/snownlp
- yangzhiye/NLPCC2017-task3
- An Entity-Driven Framework for Abstractive Summarization
- Unified Language Model Pre-training for Natural Language Understanding and Generation
- On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
- Fine-tune BERT for Extractive Summarization
- Guiding Extractive Summarization with Question-Answering Rewards
- Abstractive Text Summarization by Incorporating Reader Comments
- Structured Neural Summarization
- A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
- Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
- Generating Topic-Oriented Summaries Using Neural Attention
- SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders
- BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
- Sentence Centrality Revisited for Unsupervised Summarization
- Simple Unsupervised Summarization by Contextual Matching
- SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression
- Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
- Unsupervised Text Summarization using Sentence Embeddings
- LCSTS: A Large Scale Chinese Short Text Summarization Dataset
- NLPCC 2017 Shared Task
- Overview of the NLPCC 2018 Shared Task: Single Document Summarization
- Overview of the NLPCC 2017 Shared Task: Single Document Summarization
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Sentence Embeddings
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Single-Document-Summarization (as references)
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Metrics
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Single-Document-Summarization (as references)
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References
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Single-Document-Summarization (as references)
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Categories
Keywords
nlp
3
text-mining
2
deep-learning
2
text-summarization
2
machine-learning
2
mllm
1
minilm
1
llm
1
layoutxlm
1
layoutlm
1
kosmos-1
1
kosmos
1
foundation-models
1
document-ai
1
deepnet
1
bitnet
1
beit-3
1
beit
1
summarization
1
multi-news
1
multi-document-summarization
1
multimodal
1
pre-trained-model
1
textdiffuser
1
trocr
1
unilm
1
xlm-e
1
skip-thought-vectors
1
theano
1
abstractive-text-summarization
1
extractive-text-summarization
1
natural-language-processing
1
abstractive-summarization
1
extractive-summarization
1
papers-collection
1
sentence-compression
1