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However, with a small training corpus, LSA showed better performance. Additionally they show that the best parameter setting depends on the task and the training corpus. Nevertheless, for skip-gram models trained in medium size corpora, with 50 dimensions, a window size of 15 and 10 negative samples seems to be a good parameter setting.
Formally, a k-skip-n-gram is a length-n subsequence where the components occur at distance at most k from each other. For example, in the input text: the rain in Spain falls mainly on the plain. the set of 1-skip-2-grams includes all the bigrams (2-grams), and in addition the subsequences
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Note that is a proper distribution, as the values defined in the above way are non-negative and sum to one. The parameter δ {\displaystyle \delta } is a constant which denotes the discount value subtracted from the count of each n-gram, usually between 0 and 1.
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Gram-negative bacteria tend to be more antimicrobial resistant than gram-positive bacteria, and also possess a much more significant periplasmic space between their two membrane bilayers. Since eukaryotes do not possess a periplasmic space, structures and enzymes found in the gram-negative periplasm are attractive targets for antimicrobial drug ...
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