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Merging knowledge bases in different languages

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Figure

Table 1:For each language and category, meanout-degree value and associated standard deviationof the nodes of that category in the (first) graph,without isolated nodes, and in the (second) graph,fed with SVO-inferred relationships before prun-ing
Table 2:For each language subgraph and cate-gory, the number of entities and, from these, thenumber of entities contained in a positive pair areshown
Figure 1: Generation of negative examples: givena positive pair, (until an entity with the same category is reached:e.g., (USA, EUA), a walk is launchedMexico,Country) by (USA, borderWith, Mex-ico)
Figure 2: PR curves comparing both proposals with the dictionary as a baseline. Each figure displaysthe results of the three approaches with the examples of a specific category using the first graph.
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