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WEBI
2005
Springer
14 years 2 months ago
A Semi-Supervised Document Clustering Algorithm Based on EM
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Leonardo Rigutini, Marco Maggini
WWW
2008
ACM
14 years 9 months ago
Which "Apple" are you talking about ?
In a higher level task such as clustering of web results or word sense disambiguation, knowledge of all possible distinct concepts in which an ambiguous word can be expressed woul...
Mandar Rahurkar, Dan Roth, Thomas S. Huang
CIKM
2008
Springer
13 years 10 months ago
Mining conceptual graphs for knowledge acquisition
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...
Milagros Fernández, Eric Villemonte de la C...
ICASSP
2011
IEEE
13 years 9 days ago
Using latent topic features to improve binary classification of spoken documents
In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
Jonathan Wintrode
ICDE
2008
IEEE
167views Database» more  ICDE 2008»
14 years 10 months ago
Automatic Extraction of Useful Facet Hierarchies from Text Databases
Databases of text and text-annotated data constitute a significant fraction of the information available in electronic form. Searching and browsing are the typical ways that users ...
Wisam Dakka, Panagiotis G. Ipeirotis