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Background: This article describes capture of biological information using a hybrid approach that combines natural language processing to extract biological entities and crowdsourcing with annotators recruited via Amazon Mechanical Turk to judge correctness of candidate biological relations.
In this case, the logical options were; 1) the drug use period consisted of correct purchases, 2) the drug use period was incorrectly generated (i.e., the start or end of the purchase period was incorrect, or it should be divided into two or more periods), 3) there was not enough information to judge correctness.
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The first would be to do Turking in two stages: a first stage would be to judge the correctness of the mutation, and a second stage could judge the correctness of the gene mutation relation.
In doing so, he does not judge the correctness of anything but merely accepts appearances for what they are.
Formal mathematical specification is promoted for writing unambiguous requirements, which can be used to judge the correctness and thus the reliability of PMGT.
In the same way that deductive logic does not judge the correctness of the premises but just advises you what to infer from them, Bayesian inductive logic tells you how to change your own attitudes as soon as you encounter evidence.
One can often judge the correctness of her ideas by those who attack them.
This way of illustration helps to judge the correctness of our initial classification, and the classification by cluster analysis.
Given a suitable text against which to judge the correctness of choices between alternative words, DLP becomes a testable hypothesis.
It should be noted that the most popular metrics for evaluating an assembly (e.g., contig size and N50), emphasize only size, poorly capturing the contig quality as they do not contain all the information needed to judge the correctness of the assembly.
Therefore, we also performed an extensive literature evaluation to judge the correctness of selected new annotations.
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