Machine reading understanding method and system
A reading comprehension and machine technology, applied in the field of machine reading comprehension methods and systems, can solve problems such as ignoring the text space structure, failing to capture relational information well, and low accuracy of machine reading comprehension tasks
Pending Publication Date: 2021-01-15
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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Problems solved by technology
[0004] Most of the existing machine reading comprehension models are based on LSTM, GRU and other cyclic neural network technologies. This type of neural network regards text as data with a sequential structure, ignores the spatial structure of the text, and cannot capture the content of the article well. The relationship information between sentences, so there is a problem of low accuracy in machine reading comprehension tasks
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[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0047] The purpose of the present invention is to provide a machine reading comprehension method and system to improve the accuracy of the machine reading comprehension task.
[0048] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0049] Such as figure 1 As shown, t...
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The invention discloses a machine reading understanding method and system. The method comprises the steps of obtaining a machine reading understanding data set; processing the machine reading understanding data set to obtain a training set and a test set; constructing a machine reading understanding model based on a graph attention network; inputting the training set into a machine reading understanding model for training to obtain model parameters; and inputting the test set into the machine reading understanding model after the model parameters are solved for reading understanding to obtainan answer to each question in each article. According to the invention, the machine reading understanding model is constructed based on the graph attention network, semantic information of articles can be captured, and associated information between context information and words can also be captured, so that the accuracy of a machine reading understanding task is improved.
Description
technical field [0001] The invention relates to the technical field of natural language processing, in particular to a machine reading comprehension method and system. Background technique [0002] In recent years, with the development of the modern Internet, a large number of information bases encoded in human language have been produced, and the number of documents has grown rapidly, and its growth rate has reached a speed that ordinary people can hardly keep up with. Therefore, in order to understand and summarize literature, the demand for machine reading comprehension is gradually increasing. [0003] In the field of machine reading comprehension, researchers have also shifted from traditional knowledge base technologies to deep learning technology, and various machine reading comprehension models based on neural networks have been proposed and achieved good application results. Moreover, machine reading comprehension has been further developed with the introduction of...
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IPC IPC(8): G06F16/332G06F40/30G06N3/04G06N3/08
CPCG06F16/3329G06F40/30G06N3/049G06N3/084G06N3/045
Inventor 段大高张轩刘文文韩忠明张翙
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY