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@article{727390,
author = {Řehůřek, Radim},
article_location = {Wisła, Poland},
article_number = {2},
keywords = {text segmentation; LSI; latent semantic indexing},
language = {eng},
issn = {1896-7094},
journal = {Proceedings of the International Multiconference on Computer Science and Information Technology},
title = {On Dimensionality of Latent Semantic Indexing for Text Segmentation},
url = {http://www.papers2007.imcsit.org/},
volume = {2007},
year = {2007}
}
TY - JOUR
ID - 727390
AU - Řehůřek, Radim
PY - 2007
TI - On Dimensionality of Latent Semantic Indexing for Text Segmentation
JF - Proceedings of the International Multiconference on Computer Science and Information Technology
VL - 2007
IS - 2
SP - 347-356
EP - 347-356
SN - 18967094
KW - text segmentation
KW - LSI
KW - latent semantic indexing
UR - http://www.papers2007.imcsit.org/
N2 - 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.
ER -
ŘEHŮŘEK, Radim. On Dimensionality of Latent Semantic Indexing for Text Segmentation. \textit{Proceedings of the International Multiconference on Computer Science and Information Technology}. Wisła, Poland, roč.~2007, č.~2, s.~347-356. ISSN~1896-7094. 2007.
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