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» Classifying the Hungarian Web
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WWW
2008
ACM
14 years 8 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
SIGIR
2008
ACM
13 years 7 months ago
Classifiers without borders: incorporating fielded text from neighboring web pages
Accurate web page classification often depends crucially on information gained from neighboring pages in the local web graph. Prior work has exploited the class labels of nearby p...
Xiaoguang Qi, Brian D. Davison
ACL
2010
13 years 5 months ago
Creating Robust Supervised Classifiers via Web-Scale N-Gram Data
In this paper, we systematically assess the value of using web-scale N-gram data in state-of-the-art supervised NLP classifiers. We compare classifiers that include or exclude fea...
Shane Bergsma, Emily Pitler, Dekang Lin
ICDAR
2007
IEEE
13 years 11 months ago
WEB Image Classification Based on the Fusion of Image and Text Classifiers
This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that con...
Pedro R. Kalva, Fabrício Enembreck, Alessan...
CIKM
2006
Springer
13 years 11 months ago
A comparative study on classifying the functions of web page blocks
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
Xiangye Xiao, Qiong Luo, Xing Xie, Wei-Ying Ma