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Reading understanding system and method based on global and local attention interaction

A reading comprehension and attention technology, applied in text database query, unstructured text data retrieval and other directions, can solve the problem of low accuracy and achieve the effect of improving accuracy

Active Publication Date: 2019-12-20
GUILIN UNIV OF ELECTRONIC TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But above-mentioned these prior art schemes deduce the accuracy of the answer is low

Method used

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  • Reading understanding system and method based on global and local attention interaction
  • Reading understanding system and method based on global and local attention interaction
  • Reading understanding system and method based on global and local attention interaction

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Embodiment 1

[0063] Such as figure 1 with figure 2 Shown, the present invention relates to a kind of reading comprehension method based on global and partial attention interaction, comprises the following steps:

[0064] S1. Input the triplet format data composed of text paragraph C, question Q, and candidate answer set A, respectively train the text paragraph C, question Q, and candidate answer set A in the data to obtain text paragraph C, question Q, candidate answer set A The word vector of the answer set A, and initialize the word vector to obtain the network input data;

[0065] S2. Encode the word vectors of the text paragraph C and the question Q in the network input data, and obtain the interaction information S1 between the text paragraph C and the question Q in the local case; and in the global case, obtain the question Q to the text paragraph C's attention S2;

[0066] S3. Fuse and calculate the interactive information S1 between the text paragraph C and the question Q and t...

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Abstract

The invention relates to a reading understanding system and method based on global and local attention interaction. The method comprises the following steps: S1, inputting triple format data consisting of a text paragraph C, a question Q and a candidate answer set A, respectively training the text paragraph C, the question Q and the candidate answer set A in the data to obtain word vectors, and initializing the word vectors to obtain network input data; s2, encoding word vectors of a text paragraph C and a question Q in the network input data, and obtaining interaction information S1 between the text paragraph C and the question Q under a local condition; under the global condition, obtaining the attention S2 of the question Q to the text paragraph C; and S3, fusing and calculating the interaction information S1 and the attention S2, and selecting a word with the highest probability in the candidate answer set A as a prediction answer according to a calculation result. Compared with the prior art, more interaction information between the questions and the documents can be obtained, and the accuracy of deducing answers is improved.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, in particular to a reading comprehension system and method based on interaction between global and local attention. Background technique [0002] In related technologies, in the field of Natural Language Processing (NLP for short), reading comprehension is to guess the correct answer to a question by reading and understanding a document. Giving computers the ability to read documents, process them and understand their meaning is a long-term goal of artificial intelligence researchers and one of the ultimate goals of natural language processing. For the machine's reading ability, it can be evaluated in many ways, but in recent years, with the establishment of several benchmark data sets, many reading comprehension models based on neural networks have been proposed as the evaluation of machine reading ability, among them, cloze Traditional reading comprehension has also...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33
Inventor 蔡晓东侯珍珍
Owner GUILIN UNIV OF ELECTRONIC TECH