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AIME
2003
Springer
14 years 29 days ago
Learning-Free Text Categorization
In this paper, we report on the fusion of simple retrieval strategies with thesaural resources in order to perform large-scale text categorization tasks. Unlike most related system...
Patrick Ruch, Robert H. Baud, Antoine Geissbü...
MEDINFO
2007
13 years 9 months ago
Text Categorization Models for Identifying Unproven Cancer Treatments on the Web
The nature of the internet as a non-peer-reviewed (and more generally largely unregulated) publication medium has allowed wide-spread promotion of inaccurate and unproven medical ...
Yin Aphinyanaphongs, Constantin F. Aliferis
ITS
2004
Springer
137views Multimedia» more  ITS 2004»
14 years 1 months ago
Integrating Intelligent Agents, User Models, and Automatic Content Categorization in a Virtual Environment
This work is devoted to lattice-based information representation of correlations among delivery criteria in transport logistics. The number of delivery criteria, their ranking acc...
Cássia Trojahn dos Santos, Fernando Santos ...
IDA
2006
Springer
13 years 7 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
COLING
1996
13 years 9 months ago
Segmenting Sentences into Linky Strings Using D-bigram Statistics
It is obvious that segmentation takes an important role in natural language processing(NLP), especially for the languages whose sentences are not easily separated into morphemes. ...
Shiho Nobesawa, Junya Tsutsumi, Sun Da Jiang, Tomo...