Update Summarization Based on Latent Semantic Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F09%3A00502111" target="_blank" >RIV/49777513:23520/09:00502111 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Update Summarization Based on Latent Semantic Analysis

Original language description

This paper deals with our recent research in text summarization. We went from single-document summarization through multi-document summarization to update summarization. We describe the development of our summarizer which is based on latent semantic analysis (LSA) and propose the update summarization component which determines the redundancy and novelty of each topic discovered by LSA. The final part of this paper presents the results of our participation in the experiment of Text Analysis Conference 2008.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

<a href="/en/project/2C06009" target="_blank" >2C06009: Complex knowledge base tools for natural language communication with the semantic web</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Text, Speech and Dialogue

ISBN

978-3-642-04207-2

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

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Publisher name

Springer

Place of publication

Berlin

Event location

Plzeň

Event date

Sep 17, 2009

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000270445700012