2000 TheUseofClassifiersinSequential

• (Punyakanok et al., 2000) ⇒ Vasin Punyakanok, and Dan Roth. (2000). “The Use of Classifiers in Sequential Inference." Technical Report, University of Illinois at Urbana-Champaign Champaign.

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Quotes

Abstract

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 develop two general approaches for an important subproblem - identifying phrase structure. The first is a Markovian approach that extends standard HMMs to allow the use of a rich observation structure and of general classifiers to model state-observation dependencies. The second is an extension of constraint satisfaction formalisms. We develop efficient combination algorithms under both models and study them experimentally in the context of shallow parsing.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2000 TheUseofClassifiersinSequential	Vasin Punyakanok			The Use of Classifiers in Sequential Inference