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cs.LG2001
The Use of Classifiers in Sequential Inference
Vasin Punyakanok, Dan Roth
We study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular, we devel…
cs.LG2000
A Learning Approach to Shallow Parsing
Marcia Muñoz, Vasin Punyakanok, Dan Roth +1
A SNoW based learning approach to shallow parsing tasks is presented and studied experimentally. The approach learns to identify syntactic patterns by combining simple predictors t…