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Few Shot Representation Learning for Out Of Vocabulary Words

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Figure

Figure 1: The proposed hierarchical context encodingarchitecture (HiCE) for learning embedding represen-tation for OOV words.
Table 1:Performance on the Chimera benchmarkdataset with different numbers of context sentences,which is measured by Spearman correlation
Table 2: Performance on Named Entity Recognition and Part-of-Speech Tagging tasks. All methods are evaluatedon test data containing OOV words
Figure 2: Visualization of attention distribution over words and contexts.

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