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ICPR
2002
IEEE
16 years 7 months ago
Word Segmentation of Printed Text Lines Based on Gap Clustering and Special Symbol Detection
This paper proposes a word segmentation method for machine-printed text lines. It utilizes gaps and special symbols as delimiters between words. A gap clustering technique is used...
Soo-Hyung Kim, Chang Bu Jeong, Hee K. Kwag, Ching ...
CICLING
2007
Springer
16 years 3 days ago
Clustering Narrow-Domain Short Texts by Using the Kullback-Leibler Distance
Clustering short length texts is a difficult task itself, but adding the narrow domain characteristic poses an additional challenge for current clustering methods. We addressed thi...
David Pinto, José-Miguel Benedí, Pao...
EMNLP
2009
15 years 3 months ago
Clustering to Find Exemplar Terms for Keyphrase Extraction
Keyphrases are widely used as a brief summary of documents. Since manual assignment is time-consuming, various unsupervised ranking methods based on importance scores are proposed...
Zhiyuan Liu, Peng Li, Yabin Zheng, Maosong Sun
JAIR
2010
94views more  JAIR 2010»
15 years 4 months ago
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
Sajib Dasgupta, Vincent Ng
WWW
2006
ACM
16 years 6 months ago
Using symbolic objects to cluster web documents
Web Clustering is useful for several activities in the WWW, from automatically building web directories to improve retrieval performance. Nevertheless, due to the huge size of the...
Esteban Meneses, Oldemar Rodríguez-Rojas