Text Segmentation Using Context Overlap

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F07%3A00023050" target="_blank" >RIV/00216224:14330/07:00023050 - 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
Text Segmentation Using Context Overlap
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. Experimental results are presented, along with comparison to other existing algorithms.
Czech name
Segmentace textu s použitím překryvu kontextů
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. Experimental results are presented, along with comparison to other existing algorithms.

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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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)

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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