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ACL
2008
15 years 9 months ago
Simple Semi-supervised Dependency Parsing
We present a simple and effective semisupervised method for training dependency parsers. We focus on the problem of lexical representation, introducing features that incorporate w...
Terry Koo, Xavier Carreras, Michael Collins
CIDR
2007
165views Algorithms» more  CIDR 2007»
15 years 9 months ago
A Black-Box Approach to Query Cardinality Estimation
We present a “black-box” approach to estimating query cardinality that has no knowledge of query execution plans and data distribution, yet provides accurate estimates. It doe...
Tanu Malik, Randal C. Burns, Nitesh V. Chawla
TSMC
1998
96views more  TSMC 1998»
15 years 7 months ago
The MDS-ANAVA technique for assessing knowledge representation differences between skill groups
—Knowledge representation is one of important factors that determine human performance on cognitive tasks. Due to different levels of experience, different groups of people may d...
Nong Ye
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
15 years 6 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
ICML
2004
IEEE
16 years 8 months ago
Co-EM support vector learning
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
Ulf Brefeld, Tobias Scheffer