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EMNLP
2006
15 years 8 months ago
Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines
The end-to-end performance of natural language processing systems for compound tasks, such as question answering and textual entailment, is often hampered by use of a greedy 1-bes...
Jenny Rose Finkel, Christopher D. Manning, Andrew ...
JSA
2006
81views more  JSA 2006»
15 years 6 months ago
Deferred locking with shadow transaction for client-server DBMSs
Data-shipping systems that allow inter-transaction caching raise the need of a transactional cache consistency maintenance (CCM) protocol because each client is able to cache a po...
Hyeokmin Kwon, Songchun Moon
198
Voted
NLPRS
2001
Springer
15 years 11 months ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce
ESCIENCE
2006
IEEE
16 years 21 days ago
Grid Approach to Embarrassingly Parallel CPU-Intensive Bioinformatics Problems
Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a s...
Heinz Stockinger, Marco Pagni, Lorenzo Cerutti, La...
SIGSOFT
2000
ACM
15 years 11 months ago
Extracting library-based object-oriented applications
In an increasingly popular model of software distribution, software is developed in one computing environment and deployed in other environments by transfer over the internet. Ext...
Peter F. Sweeney, Frank Tip
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