CN-DBpedia2: An Extraction and Verification Framework for Enriching Chinese Encyclopedia Knowledge Base

Note

It is an extension of CN-DBpedia, and the dotted components are new features. Figure 2 presents the detail of enrichment component in CN-DBpedia2. Figure 3 is the framework of METIC, a multi-instance method for entity typing from unstructured features.

Figure 4 shows a neural network model for mention typing. Figure 5 is a framework of METIH, a multi-instance method for entity typing from heterogeneous features. Figure 6 shows network structures of the multiple-predicate extractor.

Figure 7 presents an example of CAPTCHA.

Note

In this case, the answer is “overlooks inquiry”. Figure 8 is an example of our rcCAPTCHA system.

Note

The word marked in yellow is the correct answer.