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» When does Co-training Work in Real Data
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ICSE
2008
IEEE-ACM
16 years 4 months ago
Dynamic detection of atomic-set-serializability violations
Previously we presented atomic sets, memory locations that share some consistency property, and units of work, code fragments that preserve consistency of atomic sets on which the...
Christian Hammer, Julian Dolby, Mandana Vaziri, Fr...
MOBISYS
2007
ACM
16 years 3 months ago
Algorithm to automatically detect abnormally long periods of inactivity in a home
An algorithm has been developed to automatically construct individual models of normal activity within a home using motion sensor data. Alerts can be generated when a period of in...
Paul Cuddihy, Jenny Weisenberg, Catherine Graichen...
EMNLP
2009
15 years 1 months ago
Using the Web for Language Independent Spellchecking and Autocorrection
We have designed, implemented and evaluated an end-to-end system spellchecking and autocorrection system that does not require any manually annotated training data. The World Wide...
Casey Whitelaw, Ben Hutchinson, Grace Chung, Ged E...
LREC
2010
140views Education» more  LREC 2010»
15 years 5 months ago
A Typology of Near-Identity Relations for Coreference (NIDENT)
The task of coreference resolution requires people or systems to decide when two referring expressions refer to the `same' entity or event. In real text, this is often a diff...
Marta Recasens, Eduard H. Hovy, Maria Antòn...
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 4 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill