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Unsupervised Information Extraction with Distributional Prior Knowledge

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Figure 2: Generative models with different label assign-ment priors. D denotes the number of documents in thegiven collection, ni denotes the number of candidates inthe i-th document, and K is the number of slots (clusters).
Table 1: Performance summary of the different generative models and K-means in terms of F1.
Table 3: Comparison between the combined model (GMM with the proposed prior), GMM and K-means.
Table 5: Top-10 features in the PersonOut cluster, aslearned by GMM with the proposed prior.

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