Method for solving conference content summary task based on layered adaptive segmented network
A segmentation network, content summary technology, applied in biological neural network models, special data processing applications, instruments, etc.
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[0048] The present invention is verified experimentally on the data set YW constructed by ourselves. The YW dataset includes a total of 298 meeting dialogue data and corresponding human-marked meeting minutes. We use 200 dialogue data as the training set, 48 dialogue data as the validation set, and 50 dialogue data as the test set.
[0049] In order to objectively evaluate the performance of the algorithm of the present invention, the present invention uses ROUGE-1, ROUGE-2, and ROUGE-SU in the selected test set to evaluate the effect of the present invention. According to the steps described in the specific embodiment, the experimental results obtained are as shown in table 1, and the method used in the present invention is denoted as HAS-RL:
[0050]
[0051] Table 1 The present invention is aimed at ROUGE-1, ROUGE-2, the test result of ROUGE-SU standard
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