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Semi supervised Relation Extraction with Large scale Word Clustering

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Figure

Table 2: An example of words and their bit string representations obtained in this paper
Table 4: Cluster features ordered by importance.
Table 4.  System
Table 8: Performance over the 7 relation types with different sizes of training data. Prefix10 uses the single prefix length 10 to generate word clusters as used by Chan and Roth (2010)

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