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98
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SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
107
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EMNLP
2006
14 years 10 months ago
2006
Word clustering is important for automatic thesaurus construction, text classification, and word sense disambiguation. Recently, several studies have reported using the web as a c...
AIMSA
2008
Springer
15 years 3 months ago
2008
Springer
An alternative way to tackle Information Retrieval, called Passage Retrieval, considers text fragments independently rather than assessing global relevance of documents. In such a ...
CICLING
2005
Springer
15 years 3 months ago
2005
Springer
This paper describes a supervised three-tier clustering method for classifying students’ essays of qualitative physics in the Why2-Atlas tutoring system. Our main purpose of cate...
NIPS
2008
14 years 11 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...