Viewpoint type problem reading understanding method based on multilayer bidirectional LSTM and verification model
A technology for verifying models and reading comprehension, applied in the field of machine learning, can solve problems such as poor comprehension and reasoning ability, poor performance, and strong subjectivity, and achieve high accuracy and precise selection
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[0032] The principles and features of the present invention will be described below in conjunction with the accompanying drawings, and the enumerated embodiments are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0033] The present invention provides a multi-layer bidirectional LSTM and a method for reading comprehension of viewpoint-type questions of a verification model, and the method specifically includes the following steps:
[0034] S1. Preprocessing the sentences in articles and questions, the preprocessing includes word segmentation, part-of-speech tagging, named entity recognition, mapping words into corresponding word vectors in the vocabulary, and splicing them with feature vectors of part-of-speech and named entity types Together, form the initial feature vector representations of articles and questions.
[0035] S2. The initial feature vector representations of articles and questions are respectively...
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