SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 359 papers

TitleStatusHype
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization—0
Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization—0
Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews—0
End-to-end Argument Generation System in Debating—0
Coarse-to-Fine Query Focused Multi-Document Summarization—0
Entity-Supported Summarization of Biomedical Abstracts—0
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization—0
Leveraging Attribute Conditioning for Abstractive Multi Document Summarization—0
Evaluating Pre-Trained Language Models on Multi-Document Summarization for Literature Reviews—0
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents—0
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 Summarizer—0
Exploiting Category-Specific Information for Multi-Document Summarization—0
Exploiting Timegraphs in Temporal Relation Classification—0
Exploiting Timelines to Enhance Multi-document Summarization—0
Exploring Text Links for Coherent Multi-Document Summarization—0
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval—0
Exploring the limits of a base BART for multi-document summarization in the medical domain—0
Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach—0
Automatic Related Work Generation: A Meta Study—0
BASS: Boosting Abstractive Summarization with Unified Semantic Graph—0
Extracting News Web Page Creation Time with DCTFinder—0
Extractive Multi-document Summarization Using Multilayer Networks—0
Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks—0
BERT-VBD: Vietnamese Multi-Document Summarization Framework—0
Extractive Multi-Document Summarization with Integer Linear Programming and Support Vector Regression—0
Interactive Abstractive Summarization for Event News Tweets—0
Improving Update Summarization via Supervised ILP and Sentence Reranking—0
Improving the Estimation of Word Importance for News Multi-Document Summarization—0
Dependency Structure for News Document Summarization—0
Abstractive News Summarization based on Event Semantic Link Network—0
Ant Colony System for Multi-Document Summarization—0
Improving Multi-Document Summarization via Text Classification—0
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 Documents—0
Answering Questions from Multiple Documents -- the Role of Multi-Document Summarization—0
From TimeLines to StoryLines: A preliminary proposal for evaluating narratives—0
Can one size fit all?: Measuring Failure in Multi-Document Summarization Domain Transfer—0
Identifying Helpful Sentences in Product Reviews—0
Framework of Automatic Text Summarization Using Reinforcement Learning—0
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization—0
Highlight-Transformer: Leveraging Key Phrase Aware Attention to Improve Abstractive Multi-Document Summarization—0
Generating Related Work—0
Generating Supplementary Travel Guides from Social Media—0
CIST System for CL-SciSumm 2016 Shared Task—0
CIST System Report for ACL MultiLing 2013 -- Track 1: Multilingual Multi-document Summarization—0
Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization—0
An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model—0
A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization—0
Show:102550
← PrevPage 3 of 8Next →

No leaderboard results yet.