Answer sentence selection method and device based on hierarchical capsule and multi-view information fusion
The invention discloses a hierarchical capsule and multi-view information fused answer sentence selection method and device. The method comprises the following steps: firstly, collecting and preprocessing a question text containing a plurality of answers in the Internet; then, a hierarchical capsule...
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creator | JI SHUNHANG LI BING YANG PENG YI MENG SUN YUANKANG |
description | The invention discloses a hierarchical capsule and multi-view information fused answer sentence selection method and device. The method comprises the following steps: firstly, collecting and preprocessing a question text containing a plurality of answers in the Internet; then, a hierarchical capsule network is adopted, information aggregation and word aggregation are carried out on representation output through coding through the progressive aggregation feature of the hierarchical capsule network, accurate transmission of effective information is guaranteed, and parameter transmission can be carried out through the same feature; then, in order to solve the problems that the fine tuning step is unstable and the final output using the pre-training model can only predict a single label, the learning information is weighted by using a multi-view information fusion method to calculate the weight output by the whole BERT coding intermediate layer. According to the method, the problems that the influence of multi-la |
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The method comprises the following steps: firstly, collecting and preprocessing a question text containing a plurality of answers in the Internet; then, a hierarchical capsule network is adopted, information aggregation and word aggregation are carried out on representation output through coding through the progressive aggregation feature of the hierarchical capsule network, accurate transmission of effective information is guaranteed, and parameter transmission can be carried out through the same feature; then, in order to solve the problems that the fine tuning step is unstable and the final output using the pre-training model can only predict a single label, the learning information is weighted by using a multi-view information fusion method to calculate the weight output by the whole BERT coding intermediate layer. 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The method comprises the following steps: firstly, collecting and preprocessing a question text containing a plurality of answers in the Internet; then, a hierarchical capsule network is adopted, information aggregation and word aggregation are carried out on representation output through coding through the progressive aggregation feature of the hierarchical capsule network, accurate transmission of effective information is guaranteed, and parameter transmission can be carried out through the same feature; then, in order to solve the problems that the fine tuning step is unstable and the final output using the pre-training model can only predict a single label, the learning information is weighted by using a multi-view information fusion method to calculate the weight output by the whole BERT coding intermediate layer. 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The method comprises the following steps: firstly, collecting and preprocessing a question text containing a plurality of answers in the Internet; then, a hierarchical capsule network is adopted, information aggregation and word aggregation are carried out on representation output through coding through the progressive aggregation feature of the hierarchical capsule network, accurate transmission of effective information is guaranteed, and parameter transmission can be carried out through the same feature; then, in order to solve the problems that the fine tuning step is unstable and the final output using the pre-training model can only predict a single label, the learning information is weighted by using a multi-view information fusion method to calculate the weight output by the whole BERT coding intermediate layer. According to the method, the problems that the influence of multi-la</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Answer sentence selection method and device based on hierarchical capsule and multi-view information fusion |
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