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How to Train good Word Embeddings for Biomedical NLP

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Table 2: Hyper-parameters and tested values.Default values shown in bold.
Table 5: Extrinsic evaluation results for vectorswith different pre-processing: Original text,Sentence-shuffled (S), lowercased (L), and both(SL)
Table 8: Intrinsic evaluation results forsub-sampling (default = 1e-3)
Table 13: Extrinsic evaluation results for learningrate (default = 0.025)
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