Event corpus purification method based on multi-agent reinforcement learning
A multi-agent, enhanced learning technology, applied in machine learning, database models, relational databases, etc., can solve problems such as label noise and adverse effects of joint extraction models
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[0038] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0039] Such as figure 1 As shown, the present invention provides a method for purifying event corpus based on multi-agent reinforcement learning, including
[0040] S1. Before starting model training, it is necessary to initialize and reset the environment and agents, and set corresponding training parameters;
[0041] S2. By performing corresponding purification and optimization actions in the environment, the agent forms a serie...
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