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ADBIS
2009
Springer
162views Database» more  ADBIS 2009»
13 years 12 months ago
Efficient Set Similarity Joins Using Min-prefixes
Identification of all objects in a dataset whose similarity is not less than a specified threshold is of major importance for management, search, and analysis of data. Set similari...
Leonardo Ribeiro, Theo Härder
CDC
2010
IEEE
148views Control Systems» more  CDC 2010»
13 years 2 months ago
Convergence rates of consensus algorithms in stochastic networks
Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...
Stacy Patterson, Bassam Bamieh
COLING
2008
13 years 9 months ago
Using Web-Search Results to Measure Word-Group Similarity
Semantic relatedness between words is important to many NLP tasks, and numerous measures exist which use a variety of resources. Thus far, such work is confined to measuring simil...
Ann Gledson, John Keane
LREC
2008
125views Education» more  LREC 2008»
13 years 9 months ago
Similar Term Discovery using Web Search
We present an approach to the discovery of semantically similar terms that utilizes a web search engine as both a source for generating related terms and a tool for estimating the...
Peter G. Anick, Vijay Murthi, Shaji Sebastian
ACL
2008
13 years 9 months ago
Solving Relational Similarity Problems Using the Web as a Corpus
We present a simple linguistically-motivated method for characterizing the semantic relations that hold between two nouns. The approach leverages the vast size of the Web in order...
Preslav Nakov, Marti A. Hearst