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» Contextual Word Similarity and Estimation from Sparse Data
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ICDM
2009
IEEE
113views Data Mining» more  ICDM 2009»
13 years 11 months ago
Connecting Sparsely Distributed Similar Bloggers
—The nature of the Blogosphere determines that the majority of bloggers are only connected with a small number of fellow bloggers, and similar bloggers can be largely disconnecte...
Nitin Agarwal, Huan Liu, Shankara B. Subramanya, J...
NAACL
2003
13 years 6 months ago
Frequency Estimates for Statistical Word Similarity Measures
Statistical measures of word similarity have application in many areas of natural language processing, such as language modeling and information retrieval. We report a comparative...
Egidio L. Terra, Charles L. A. Clarke
ECCV
2010
Springer
13 years 9 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
TKDE
2010
284views more  TKDE 2010»
13 years 3 months ago
Unsupervised Semantic Similarity Computation between Terms Using Web Documents
Abstract— In this work, web-based metrics for semantic similarity computation between words or terms are presented and compared with the state-of-the-art. Starting from the funda...
Elias Iosif, Alexandros Potamianos
ICDE
2009
IEEE
251views Database» more  ICDE 2009»
14 years 6 months ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft