3 papers
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…
cs.CL2000
Applying System Combination to Base Noun Phrase Identification
Erik F. Tjong Kim Sang, Walter Daelemans, Herve Dejean +4
We use seven machine learning algorithms for one task: identifying base noun phrases. The results have been processed by different system combination methods and all of these outpe…