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Cross lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence Mining

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Figure

Figure 1: Traditional word embedding (left), and jointentity and word embedding (right).
Figure 2: Using Wikipedia inter-language links to gen-erate sentences which contain words and entities in alanguage (source language (e.g., Chinese) and entities in a targete.g., English).
Figure 4: Using the aligned entities as anchors to learn a linear mapping (rotation matrix) which maps a sourcelanguage embedding space to a target language embedding space.
Table 1: Mention disambiguation features.
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