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» A mixture model for contextual text mining
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SIGIR
2011
ACM
12 years 8 months ago
Mining tags using social endorsement networks
Entities on social systems, such as users on Twitter, and images on Flickr, are at the core of many interesting applications: they can be ranked in search results, recommended to ...
Theodoros Lappas, Kunal Punera, Tamás Sarlo...
ICDE
2007
IEEE
125views Database» more  ICDE 2007»
14 years 3 days ago
Analyses and Fundamental ideas for a Relation Extraction Approach
Relation extraction is a difficult open research problem with important applications in several fields such as knowledge management, web mining, ontology building, intelligent sys...
Lobna Karoui, Marie-Aude Aufaure, Nacéra Be...
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 7 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
12 years 8 months ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
PKDD
2010
Springer
188views Data Mining» more  PKDD 2010»
13 years 4 months ago
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
ervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel Kuksa1 , Yanjun Qi2 , Bing Bai2 , Ronan Collobert2 , Jason Weston3 , Vladimir Pavlovic1 , ...
Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobe...