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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 276–300 of 359 papers

TitleStatusHype
Clustering Sentences with Density Peaks for Multi-document SummarizationCode0
Reader-Aware Multi-Document Summarization via Sparse Coding—0
Topic-based Multi-document Summarization using Differential Evolution forCombinatorial Optimization of Sentences—0
Sentential Paraphrase Generation for Agglutinative Languages Using SVM with a String Kernel—0
Multi-document Summarization Using Bipartite Graphs—0
Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning—0
Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees—0
Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach—0
Analyzing Stemming Approaches for Turkish Multi-Document Summarization—0
Exploiting Timegraphs in Temporal Relation Classification—0
Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews—0
Towards Syntax-aware Compositional Distributional Semantic Models—0
Query-focused Multi-Document Summarization: Combining a Topic Model with Graph-based Semi-supervised Learning—0
Learning to Generate Coherent Summary with Discriminative Hidden Semi-Markov Model—0
Generating Supplementary Travel Guides from Social Media—0
Exploiting Timelines to Enhance Multi-document Summarization—0
A Hybrid Approach to Multi-document Summarization of Opinions in Reviews—0
Detection of Topic and its Extrinsic Evaluation Through Multi-Document Summarization—0
Hierarchical Summarization: Scaling Up Multi-Document Summarization—0
Multi-document summarization using distortion-rate ratio—0
Query-Chain Focused Summarization—0
Multi-layered graph-based multi-document summarization model—0
Summarizing News Clusters on the Basis of Thematic Chains—0
LQVSumm: A Corpus of Linguistic Quality Violations in Multi-Document Summarization—0
Extracting News Web Page Creation Time with DCTFinder—0
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