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EMNLP
2009
15 years 3 months ago
Unsupervised morphological segmentation and clustering with document boundaries
Many approaches to unsupervised morphology acquisition incorporate the frequency of character sequences with respect to each other to identify word stems and affixes. This typical...
Taesun Moon, Katrin Erk, Jason Baldridge
DASFAA
2004
IEEE
123views Database» more  DASFAA 2004»
15 years 9 months ago
A Meta-search Method with Clustering and Term Correlation
A meta-search engine propagates user queries to its participant search engines following a server selection strategy. To facilitate server selection, the metasearch engine must ke...
Dyce Jing Zhao, Dik Lun Lee, Qiong Luo
AIRS
2004
Springer
15 years 11 months ago
Document Clustering Using Linear Partitioning Hyperplanes and Reallocation
This paper presents a novel algorithm for document clustering based on a combinatorial framework of the Principal Direction Divisive Partitioning (PDDP) algorithm [1] and a simpli...
Canasai Kruengkrai, Virach Sornlertlamvanich, Hito...
LWA
2007
15 years 7 months ago
Multi-objective Frequent Termset Clustering
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
Andreas Kaspari, Michael Wurst
ECIR
2008
Springer
15 years 7 months ago
Clustering Template Based Web Documents
More and more documents on the World Wide Web are based on templates. On a technical level this causes those documents to have a quite similar source code and DOM tree structure. G...
Thomas Gottron