On Dimensionality of Latent Semantic Indexing for Text Segmentation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F07%3A00022870" target="_blank" >RIV/00216224:14330/07:00022870 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
On Dimensionality of Latent Semantic Indexing for Text Segmentation
Original language description
In this paper we propose features desirable of linear text segmentation algorithms for the Information Retrieval domain, with emphasis on improving high similarity search of heterogeneous texts. We proceed to describe a robust purely statistical method,based on context overlap exploitation, that exhibits these desired features. Ways to automatically determine its internal parameter of latent space dimensionality are discussed and evaluated on a data set.
Czech name
K dimenzionalitě Lantentního Sémantického Indexování pro segmentaci textu
Czech description
In this paper we propose features desirable of linear text segmentation algorithms for the Information Retrieval domain, with emphasis on improving high similarity search of heterogeneous texts. We proceed to describe a robust purely statistical method,based on context overlap exploitation, that exhibits these desired features. Ways to automatically determine its internal parameter of latent space dimensionality are discussed and evaluated on a data set.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LC536" target="_blank" >LC536: Integrated center for natural language processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Proceedings of the International Multiconference on Computer Science and Information Technology
ISSN
1896-7094
e-ISSN
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Volume of the periodical
2007
Issue of the periodical within the volume
2
Country of publishing house
PL - POLAND
Number of pages
10
Pages from-to
347-356
UT code for WoS article
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EID of the result in the Scopus database
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