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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

Showing 101150 of 359 papers

TitleStatusHype
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization0
Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization0
Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews0
End-to-end Argument Generation System in Debating0
Coarse-to-Fine Query Focused Multi-Document Summarization0
Entity-Supported Summarization of Biomedical Abstracts0
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization0
Leveraging Attribute Conditioning for Abstractive Multi Document Summarization0
Evaluating Pre-Trained Language Models on Multi-Document Summarization for Literature Reviews0
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents0
基於基因演算法的組合式多文件摘要方法 (An Ensemble Approach for Multi-document Summarization using Genetic Algorithms) [In Chinese]0
ExB Text Summarizer0
Exploiting Category-Specific Information for Multi-Document Summarization0
Exploiting Timegraphs in Temporal Relation Classification0
Exploiting Timelines to Enhance Multi-document Summarization0
Exploring Text Links for Coherent Multi-Document Summarization0
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval0
Exploring the limits of a base BART for multi-document summarization in the medical domain0
Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach0
Automatic Related Work Generation: A Meta Study0
BASS: Boosting Abstractive Summarization with Unified Semantic Graph0
Extracting News Web Page Creation Time with DCTFinder0
Extractive Multi-document Summarization Using Multilayer Networks0
Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks0
BERT-VBD: Vietnamese Multi-Document Summarization Framework0
Extractive Multi-Document Summarization with Integer Linear Programming and Support Vector Regression0
Interactive Abstractive Summarization for Event News Tweets0
Improving Update Summarization via Supervised ILP and Sentence Reranking0
Improving the Estimation of Word Importance for News Multi-Document Summarization0
Dependency Structure for News Document Summarization0
Abstractive News Summarization based on Event Semantic Link Network0
Ant Colony System for Multi-Document Summarization0
Improving Multi-Document Summarization via Text Classification0
Int\'egration de la similarit\'e entre phrases comme crit\`ere pour le r\'esum\'e multi-document (Integrating sentence similarity as a constraint for multi-document summarization)0
基于实体信息增强及多粒度融合的多文档摘要(Multi-Document Summarization Based on Entity Information Enhancement and Multi-Granularity Fusion)0
Generating an Overview Report over Many Documents0
Answering Questions from Multiple Documents -- the Role of Multi-Document Summarization0
From TimeLines to StoryLines: A preliminary proposal for evaluating narratives0
Can one size fit all?: Measuring Failure in Multi-Document Summarization Domain Transfer0
Identifying Helpful Sentences in Product Reviews0
Framework of Automatic Text Summarization Using Reinforcement Learning0
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization0
Highlight-Transformer: Leveraging Key Phrase Aware Attention to Improve Abstractive Multi-Document Summarization0
Generating Related Work0
Generating Supplementary Travel Guides from Social Media0
CIST System for CL-SciSumm 2016 Shared Task0
CIST System Report for ACL MultiLing 2013 -- Track 1: Multilingual Multi-document Summarization0
Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization0
An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model0
A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization0
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