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ACL
2009
10 years 11 months ago
Reducing Semantic Drift with Bagging and Distributional Similarity
Iterative bootstrapping algorithms are typically compared using a single set of handpicked seeds. However, we demonstrate that performance varies greatly depending on these seeds,...
Tara McIntosh, James R. Curran
JMLR
2010
136views more  JMLR 2010»
10 years 8 months ago
Reducing Label Complexity by Learning From Bags
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
Sivan Sabato, Nathan Srebro, Naftali Tishby
COLING
2010
10 years 8 months ago
Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
Ang Sun, Ralph Grishman
EMNLP
2009
10 years 11 months ago
Web-Scale Distributional Similarity and Entity Set Expansion
Computing the pairwise semantic similarity between all words on the Web is a computationally challenging task. Parallelization and optimizations are necessary. We propose a highly...
Patrick Pantel, Eric Crestan, Arkady Borkovsky, An...
SERVICES
2008
103views more  SERVICES 2008»
11 years 2 months ago
Grouping Distributed Stream Query Services by Operator Similarity and Network Locality
Distributed stream query services must simultaneously process a large number of complex, continuous queries with stringent performance requirements while utilizing distributed pro...
Sangeetha Seshadri, Bhuvan Bamba, Brian F. Cooper,...
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