emnlp emnlp2011 emnlp2011-143 emnlp2011-143-reference knowledge-graph by maker-knowledge-mining
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Author: Cane Wing-ki Leung ; Jing Jiang ; Kian Ming A. Chai ; Hai Leong Chieu ; Loo-Nin Teow
Abstract: We address the task of automatic discovery of information extraction template from a given text collection. Our approach clusters candidate slot fillers to identify meaningful template slots. We propose a generative model that incorporates distributional prior knowledge to help distribute candidates in a document into appropriate slots. Empirical results suggest that the proposed prior can bring substantial improvements to our task as compared to a K-means baseline and a Gaussian mixture model baseline. Specifically, the proposed prior has shown to be effective when coupled with discriminative features of the candidates.
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