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» Scaling up text classification for large file systems
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LREC
2010
237views Education» more  LREC 2010»
15 years 8 months ago
Entity Mention Detection using a Combination of Redundancy-Driven Classifiers
We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
Silvana Marianela Bernaola Biggio, Manuela Speranz...
JMLR
2012
13 years 9 months ago
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshu...
FLAIRS
2000
15 years 8 months ago
Domain-Specific Knowledge Acquisition and Classification Using WordNet
For manyknowledgeintensive applications, it is necessary to have extensive domain-specific knowledgein addition to general-purpose knowledge bases usually built around MachineRead...
Dan I. Moldovan, Roxana Girju
PE
2002
Springer
150views Optimization» more  PE 2002»
15 years 6 months ago
Delimiting the range of effectiveness of scalable on-demand streaming
Previous analyses of scalable streaming protocols for delivery of stored multimedia have largely focused on how the server bandwidth required for full-file delivery scales as the ...
Haonan Tan, Derek L. Eager, Mary K. Vernon
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
16 years 1 months ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li