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ACL
2010
14 years 8 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
15 years 1 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...
ICDM
2008
IEEE
164views Data Mining» more  ICDM 2008»
15 years 4 months ago
Classifying High-Dimensional Text and Web Data Using Very Short Patterns
In this paper, we propose the "Democratic Classifier", a simple, democracy-inspired patternbased classification algorithm that uses very short patterns for classificatio...
Hassan H. Malik, John R. Kender
ICTAI
2009
IEEE
15 years 4 months ago
Classifying Sentence-Based Summaries of Web Documents
Text classification categories Web documents in large collections into predefined classes based on their contents. Unfortunately, the classification process can be time-consumi...
Maria Soledad Pera, Yiu-Kai Ng
EMNLP
2009
14 years 7 months ago
Using Word-Sense Disambiguation Methods to Classify Web Queries by Intent
Three methods are proposed to classify queries by intent (CQI), e.g., navigational, informational, commercial, etc. Following mixed-initiative dialog systems, search engines shoul...
Emily Pitler, Ken Ward Church