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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 1–50 of 359 papers

TitleStatusHype
Transfer Learning for Sequence Generation: from Single-source to Multi-sourceCode1
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement LearningCode1
Pre-training via ParaphrasingCode1
Summarizing Multiple Documents with Conversational Structure for Meta-Review GenerationCode1
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document SummarizationCode1
CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information ManagementCode1
MS2: Multi-Document Summarization of Medical StudiesCode1
PeerSum: A Peer Review Dataset for Abstractive Multi-document SummarizationCode1
Quantitative Argument Summarization and Beyond: Cross-Domain Key Point AnalysisCode1
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document SummarizationCode1
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph CompressionCode1
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events PortalCode1
AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document SummarizationCode1
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific ArticlesCode1
Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-AwarenessCode1
MSˆ2: Multi-Document Summarization of Medical StudiesCode1
Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple GranularitiesCode1
ODSum: New Benchmarks for Open Domain Multi-Document SummarizationCode1
Efficiently Summarizing Text and Graph Encodings of Multi-Document ClustersCode1
Proposition-Level Clustering for Multi-Document SummarizationCode1
DynE: Dynamic Ensemble Decoding for Multi-Document SummarizationCode1
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised BaselineCode1
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News ArticlesCode1
TWAG: A Topic-Guided Wikipedia Abstract GeneratorCode1
SummerTime: Text Summarization Toolkit for Non-expertsCode1
Data Augmentation for Abstractive Query-Focused Multi-Document SummarizationCode1
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document SummarizationCode1
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document SummarizationCode1
Proposition-Level Clustering for Multi-Document SummarizationCode1
GameWikiSum: a Novel Large Multi-Document Summarization DatasetCode1
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive SummarizationCode1
HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow ArticlesCode1
LongT5: Efficient Text-To-Text Transformer for Long SequencesCode1
Attribute First, then Generate: Locally-attributable Grounded Text GenerationCode1
Bottom-Up Abstractive SummarizationCode1
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document SummarizationCode0
Generating a Structured Summary of Numerous Academic Papers: Dataset and MethodCode0
Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive SummarizationCode0
Abstractive Multi-Document Summarization via Joint Learning with Single-Document SummarizationCode0
From Single to Multi: How LLMs Hallucinate in Multi-Document SummarizationCode0
Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence PositionCode0
A Multi-Document Coverage Reward for RELAXed Multi-Document SummarizationCode0
Fair Summarization: Bridging Quality and Diversity in Extractive SummariesCode0
Extending Multi-Document Summarization Evaluation to the Interactive SettingCode0
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document SummarizationCode0
Error Analysis of using BART for Multi-Document Summarization: A Study for English and German LanguageCode0
Extending Multi-Text Sentence Fusion Resources via Pyramid AnnotationsCode0
Fast Concept Mention Grouping for Concept Map-based Multi-Document SummarizationCode0
Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document SummarizationCode0
Generating Wikipedia by Summarizing Long SequencesCode0
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