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» A Statistical Model for Domain-Independent Text Segmentation
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TSD
2005
Springer
14 years 28 days ago
Robust Rule-Based Method for Automatic Break Assignment in Russian Texts
In this paper a new rule-based approach to break assignment for the Russian language is discussed. It is a flexible and robust method of segmentation of texts in Russian in prosod...
Ilya Oparin
TIP
2002
179views more  TIP 2002»
13 years 7 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
SG
2007
Springer
14 years 1 months ago
Correlating Text and Images: Concept and Evaluation
This paper presents the concept and an evaluation of a novel approach to support students to understand complex spatial relations and to learn unknown terms of a domain-specific t...
Timo Götzelmann, Pere-Pau Vázquez, Knu...
FLAIRS
2007
13 years 9 months ago
Combining Machine Learning with Linguistic Heuristics for Chinese Word Segmentation
This paper describes a hybrid model that combines machine learning with linguistic heuristics for integrating unknown word identification with Chinese word segmentation. The model...
Xiaofei Lu
WWW
2009
ACM
14 years 8 months ago
A densitometric analysis of web template content
What makes template content in the Web so special that we need to remove it? In this paper I present a large-scale aggregate analysis of textual Web content, corroborating statist...
Christian Kohlschütter