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On the Use of Virtual Evidence in Conditional Random Fields

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Figure

Figure 1: Graphical model representations of (a) aCRF model and (b) a CRF model integrated withvirtual evidence
Table 1: Field labels (except other) for the CLASSIFIEDS task, their respective prototype lists specifiedby prior knowledge, and collocation lists mined from unlabeled data.
Table 2: Token-level accuracy of supervised learn-ing methods; “+ VE” refers to the cases whereboth kinds of prior knowledge, K1 and K2, are in-corporated as VE in the CRF model.

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