Machine reading comprehension and method and device for reducing candidate data set size

A technology of reading comprehension and candidate data, which is applied in the field of machine understanding of natural language, can solve problems such as unreasonable sentence patterns and inability to well reflect the natural expression of human thinking logic, and achieve the goal of narrowing the scope, realizing comprehensive prediction, and improving the effect Effect
CN109255012BActive Publication Date: 2021-04-30深思考人工智能机器人科技(北京)有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
深思考人工智能机器人科技(北京)有限公司
Publication Date
2021-04-30

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Abstract

Disclosed is an implementation method of machine reading comprehension, filtering the first data set according to the question type to obtain the filtered second data set; performing semantic matching between the question and the data i in the second data set to obtain the semantic matching score of the data i; Calculate the maximum coverage of the question and the data i to obtain the feature matching score of the data i; weight the semantic matching score and feature matching score of the data i to obtain the matching score of the question and the data i; calculate the data i according to the multi-document voting algorithm The voting score of data i, according to the matching score and voting score of data i, calculate the final score of data i; select the first n data in the sequence according to the descending order of the final score as the candidate data set; input the candidate data set into the baseline The model predicts the answer of the input data set based on the baseline model, and obtains a candidate answer set for the question. This application implements the sorting of data sets and extracts effective answers to questions.
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Description

technical field

[0001] The present invention relates to machine comprehension of natural language, in particular, to a method and device for realizing machine reading comprehension. Background technique

[0002] With the rise and development of the Internet, data has grown rapidly. How to use machine reading comprehension technology to help users find satisfactory answers is a classic topic in the field of natural language understanding technology research. As a sub-field of natural language understanding, machine reading comprehension has always been the focus of researchers and the industry, and it is also the core problem of intelligent voice interaction and human-computer dialogue. Machine reading comprehension (Machine Reading Comprehension) is to allow machines to read natural language texts like humans, and then summarize them through reasoning, so that they can accurately answer questions related to the reading content.

[0003] Machine reading methods fall into two...

Claims

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