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Information extraction (IE) is a main approach for constructing database from free text corpus and for automatic collecting information. Frame semantic tagging is suggested to be the base for rule-building in IE. IE based on frame semantic tagging uses a uniform approach to guide the process of IE. Processing at a finer granularity level, the approach has a universal appeal for IE in domains showing...
The Chinese FrameNet Project is creating a lexical resource for Chinese, based on the principles of Frame Semantics and supported by corpus evidence. Due to the fact that syntactic and semantic role labeling (SSRL) is very necessary for deep natural language processing, a method based on cascaded conditional random fields (CCRFs) is proposed for the SSRL task, and the CCRFs model is trained to label...
Recent years have seen a revived interest in semantic parsing by applying statistical and machine learning methods to semantically annotate corpora such as the FrameNet and the Proposition Bank So far much of the research has been focused on English due to the lack of semantically annotated resources in other languages. This paper reports first results on semantic role labeling using a pre-release...
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