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» Evaluating algorithms that learn from data streams
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EACL
2010
ACL Anthology
15 years 4 months ago
Generating Referring Expressions in Context: The GREC Task Evaluation Challenges
Until recently, referring expression generation (reg) research focused on the task of selecting the semantic content of definite mentions of listener-familiar discourse entities. I...
Anja Belz, Eric Kow, Jette Viethen, Albert Gatt
ACL
2010
15 years 4 months ago
Optimizing Informativeness and Readability for Sentiment Summarization
We propose a novel algorithm for sentiment summarization that takes account of informativeness and readability, simultaneously. Our algorithm generates a summary by selecting and ...
Hitoshi Nishikawa, Takaaki Hasegawa, Yoshihiro Mat...
197
Voted
ICML
2005
IEEE
16 years 7 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
ICML
2010
IEEE
15 years 7 months ago
Detecting Large-Scale System Problems by Mining Console Logs
Surprisingly, console logs rarely help operators detect problems in large-scale datacenter services, for they often consist of the voluminous intermixing of messages from many sof...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
DSN
2009
IEEE
15 years 10 months ago
An efficient XOR-scheduling algorithm for erasure codes encoding
In large storage systems, it is crucial to protect data from loss due to failures. Erasure codes lay the foundation of this protection, enabling systems to reconstruct lost data w...
Jianqiang Luo, Lihao Xu, James S. Plank