Using cognitive model to automatically analyze Chinese predicate

This paper presents an cognitive approach to semantic role labeling in Chinese based on an extension of Construction-Integration (CI) model. The method can implicitly integrate more contextual and general knowledge into the calculating process in contrast with the machine learning methods. First, we define a proposition representation as the basic unit for semantic role labeling using CI model. Then the contextually appropriate propositions will be strengthened and inappropriate ones will be inhibited by simulating the spreading activation of human mind. Finally, experimental results show an encouraging performance on Chinese PropBank (CPB) and other two datasets.

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