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» Detecting Co-Derivative Documents in Large Text Collections
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JIIS
1998
161views more  JIIS 1998»
14 years 9 months ago
Mining Text Using Keyword Distributions
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Ido Dagan, Haym Hirsh
87
Voted
ACL
2012
13 years 1 days ago
Text Segmentation by Language Using Minimum Description Length
The problem addressed in this paper is to segment a given multilingual document into segments for each language and then identify the language of each segment. The problem was mot...
Hiroshi Yamaguchi, Kumiko Tanaka-Ishii
ADVIS
2006
Springer
15 years 3 months ago
Chat Mining for Gender Prediction
Abstract. The aim of this paper is to investigate the feasibility of predicting the gender of a text document’s author using linguistic evidence. For this purpose, term- and styl...
Tayfun Kucukyilmaz, Berkant Barla Cambazoglu, Cevd...
WWW
2004
ACM
15 years 10 months ago
Mining anchor text for query refinement
When searching large hypertext document collections, it is often possible that there are too many results available for ambiguous queries. Query refinement is an interactive proce...
Reiner Kraft, Jason Y. Zien
PCM
2010
Springer
156views Multimedia» more  PCM 2010»
14 years 8 months ago
A New Text Detection Algorithm for Content-Oriented Line Drawing Image Retrieval
Abstract. Content retrieval of scanned line drawing images is a difficult problem, especially from real-life large scale databases. Existing algorithms don’t work well due to th...
Zhenyu Zhang, Tong Lu, Feng Su, Ruoyu Yang