Resource allocation method and device for labeling problem and readable storage medium
A resource allocation and problem technology, applied in the field of resource allocation for labeling problems, can solve problems such as lack of value judgments
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Embodiment 1
[0033] This embodiment provides a resource allocation method for labeling problems, including the following steps:
[0034] S1. Obtain several labeling questions;
[0035] S2. Generate an allocation result and output it according to the expected return obtained from the resource input to each of the labeled questions.
[0036] Among them, resources include: manual labeling resources. This manual labeling resource is human and material resources, generally described as human cost.
[0037] Before S2, including:
[0038] Preset thresholds for dividing the difficulty of labeling problems;
[0039] Based on the threshold, the probability of the labeling problem is calculated by Beta distribution;
[0040] The Markov process is used to calculate the expected return obtained by investing resources in the labeling problem.
[0041] The calculation method of the probability of the labeling problem is:
[0042] I(a,b)=Pr(θ≥m|θ~Beta(a,b)),
[0043] Where m is the threshold, I(a, b) is the probability...
Embodiment 2
[0084] The features of this embodiment that are the same as those of the first embodiment will not be repeated here. The features of this embodiment are different from those of the first embodiment in:
[0085] The resource allocation method for labeling problems in this embodiment aims at the value judgment under the task when the probability of the problem is unequal and equal.
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