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Multi-Document Summarization

Multi-Document Summarization is a process of representing a set of documents with a short piece of text by capturing the relevant information and filtering out the redundant information. Two prominent approaches to Multi-Document Summarization are extractive and abstractive summarization. Extractive summarization systems aim to extract salient snippets, sentences or passages from documents, while abstractive summarization systems aim to concisely paraphrase the content of the documents.

Source: Multi-Document Summarization using Distributed Bag-of-Words Model

Papers

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Showing 101–150 of 359 papers

TitleStatusHype
An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature ReviewCode0
Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature ReviewsCode0
UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based ExtractorCode0
Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization—0
Parallel Hierarchical Transformer with Attention Alignment for Abstractive Multi-Document Summarization—0
Multi-Document Summarization with Centroid-Based PretrainingCode0
ACM -- Attribute Conditioning for Abstractive Multi Document Summarization—0
Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature—0
Large-Scale Multi-Document Summarization with Information Extraction and Compression—0
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization—0
A Multi-Document Coverage Reward for RELAXed Multi-Document SummarizationCode0
Automatic Related Work Generation: A Meta Study—0
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization—0
PeerSum: A Peer Review Dataset for Abstractive Multi-document Summarization—0
SgSum:Transforming Multi-document Summarization into Sub-graph SelectionCode0
Monolingual vs multilingual BERTology for Vietnamese extractive multi-document summarization—0
SgSum: Transforming Multi-document Summarization into Sub-graph SelectionCode0
Topic-Guided Abstractive Multi-Document Summarization—0
3M:Multi-document Summarization Considering Main and Minor Relationship—0
Modeling Endorsement for Multi-Document Abstractive SummarizationCode0
Extending Multi-Text Sentence Fusion Resources via Pyramid AnnotationsCode0
Unsupervised Multi-document Summarization for News Corpus with Key Synonyms and Contextual Embeddings—0
Leveraging Attribute Conditioning for Abstractive Multi Document Summarization—0
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer PropositionsCode0
Dependency Structure for News Document Summarization—0
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News SummarizationCode0
Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization—0
Entity-Aware Abstractive Multi-Document Summarization—0
Highlight-Transformer: Leveraging Key Phrase Aware Attention to Improve Abstractive Multi-Document Summarization—0
DESCGEN: A Distantly Supervised Datasetfor Generating Entity DescriptionsCode0
Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document SummarizationCode0
Multi-Document Summarization withDeterminantal Point Process Attention—0
AgreeSum: Agreement-Oriented Multi-Document Summarization—0
Extending Multi-Document Summarization Evaluation to the Interactive SettingCode0
UETrice at MEDIQA 2021: A Prosper-thy-neighbour Extractive Multi-document Summarization Model—0
Nutri-bullets Hybrid: Consensual Multi-document Summarization—0
Neighborhood Rough Set based Multi-document Summarization—0
BASS: Boosting Abstractive Summarization with Unified Semantic Graph—0
Analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization—0
PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies—0
Error Analysis of using BART for Multi-Document Summarization: A Study for English and German LanguageCode0
Identifying Helpful Sentences in Product Reviews—0
Generating Related Work—0
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization—0
Nutri-bullets: Summarizing Health Studies by Composing SegmentsCode0
Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article—0
ELSKE: Efficient Large-Scale Keyphrase ExtractionCode0
A novel extractive multi-document text summarization system using quantum-inspired genetic algorithm: MTSQIGA—0
Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive SummarizationCode0
Neural Abstractive Multi-Document Summarization: Hierarchical or Flat Structure?—0
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