CN-DBpedia2: An Extraction and Verification Framework for Enriching Chinese Encyclopedia Knowledge Base
收藏科学数据银行2020-10-16 更新2026-04-23 收录
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资源简介:
Three tables and eight figures of this paper. Table 1 shows the F1 scores on slot filling benchmark TAC data set (development (dev) set: data from 2012/2013, evaluation (eval) set: data from 2014). Table 2 shows fact types in CN-DBpedia2, as well as changes compared to CN-DBpedia. Table 3 presents the top 20 concepts and the number of entities included in CN-DBpedia2, as well as changes compared to CN-DBpedia. Figure 1 shows system architecture of CN-DBpedia2. 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.
提供机构:
Fudan University; Jiaqing Liang; Lihan Chen; Yanghua Xiao; Chenhao Xie; Donghua University
创建时间:
2020-10-16



