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Multi-document summarization

Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents. In such a way…

Technology, Real-life systems & Technological challenges

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Explore the main themes, entities and connections around Multi-document summarization. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Real-life systems

Relationship extractionCNNReutersFox NewsURL
8 related topics

Technological challenges

NISTReadabilityInformation noiseRedundancy
4 related topics

Key benefits and difficulties

Abstractive summarization
1 related topics

Overview

Extraction of informationNews aggregatorsInformation overload
3 related topics

Topics to explore

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Overview

Key benefits and difficulties

Technological challenges

Real-life systems

Bibliography

Advanced semantic analysis

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Map overview Semantic statistics

Multi-document summarization

Nodes26
Edges25
Triples119
Avg. degree1.92
Density0.076923
Components1

How this topic connects Entity context

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Multi-document summarization

Top relations

related to Bibliography · 81
Multi-document summarization → ACL, ACM Conference, Advances, An Efficient System, Ani Nenkova, Artificial Intelligence Research, August, Berlin Heidelberg, Bibcode, Brazil, Canada, Centroid-based, Computer Science, Daniel, David, Development, Do Summaries Help, Document Understanding Workshop, Dragomir, DUC
related to Real-life systems · 24
Multi-document summarization → CNN, Commercial Text Extraction, Fox News, Google, Google News, Internet, It, JistWeb, Newsblaster, NewsFeed Researcher, NewsInEssence, Reporter, Reuters, ReviewChomp, Scrape This, Search, Some, Specific, Text Summarization, The
related to Key benefits and difficulties · 7
Multi-document summarization → Abstractive, Automatic, In, Multi-document, The, While, With
related to Technological challenges · 6
Multi-document summarization → An, NIST, Success, Such, The, The Document Understanding Conferences
is a · 1
Multi-document summarization → automatic procedure aimed at extraction of information from multiple texts written about the same topic

Important terminology Word statistics

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Important terminology

summarization multi-document information documents news text multiple summaries automatic summary document system also doi search 10 systems views web research

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Multi-document summarizationis aautomatic procedure aimed at extraction of information from multiple texts written about the same topic0.90text
Multi-document summarizationrelated to BibliographyLock-green0.60section
Multi-document summarizationrelated to BibliographyLock-gray-alt-20.60section
Multi-document summarizationrelated to BibliographyLock-red-alt-20.60section
Multi-document summarizationrelated to BibliographyWikisource-logo0.60section
Multi-document summarizationrelated to BibliographyErkan0.60section
Multi-document summarizationrelated to BibliographyRadev0.60section
Multi-document summarizationrelated to BibliographyLexRank0.60section
Multi-document summarizationrelated to BibliographyGraph-based Lexical Centrality0.60section
Multi-document summarizationrelated to BibliographySalience0.60section
Multi-document summarizationrelated to BibliographyText Summarization0.60section
Multi-document summarizationrelated to BibliographyJournal0.60section

Related concept clusters Concept neighborhoods

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    Connections between topic areas Semantic bridges

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    Min side: 3
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