A Transfer Learning Method Based on Machine Reading to Sequence Model
A transfer learning and model technology, applied in the field of transfer learning based on machine reading to sequence models, can solve the problem of loss of pre-training model information, etc., and achieve the effect of simple and intuitive models, improved quality, and in-depth content
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[0037] In order to make the object, technical solution and beneficial technical effect of the present invention clearer, the technical content and specific implementation methods of the present invention will be further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementations described in this specification are only for explaining the present invention, not for limiting the present invention.
[0038] Such as figure 1 As shown, a transfer learning method based on machine reading to sequence model, including the following steps:
[0039] S01, pre-training a machine reading model.
[0040] We use the Stanford Question Answering Dataset SQuAD, a large-scale, high-quality corpus, as the training set. Our task is to predict an answer given an article and a question, which is a continuous field in the article.
[0041] The structure of the machine reading model see figure 2, we use the existing word vector...
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