Question and answer method and device based on table and electronic equipment
A form and question technology, applied in the fields of deep learning, artificial intelligence, and natural language processing, can solve problems such as low accuracy, poor question-and-answer efficiency, and unfixed categories
Active Publication Date: 2022-05-13
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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[0002] The question answering method in the related art is mainly to convert each character in the question into a character vector according to the input question, so as to determine the character vector sequence, and according to the character vector sequence Calculate the probability that each character in the question belongs to multiple fixed categories, but the categories in the form question and answer are not fixed, the question and answer efficiency is poor, and the accuracy is low
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[0024] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
[0025] The question answering method in the related art is mainly, according to the input question, convert each character in the question into a character vector, thereby determine the character vector sequence, calculate the probability that each character in the question belongs to a plurality of fixed categories according to the character vector sequence, and The ca...
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The invention provides a table-based question and answer method and device and electronic equipment, and relates to the technical field of artificial intelligence, in particular to the technical field of natural language processing and deep learning. According to the specific implementation scheme, a to-be-processed question text and an information table used for questioning and answering are determined, and the information table comprises at least one attribute name; determining a character vector sequence, a position vector sequence and a type vector sequence according to the question text and the at least one attribute name; determining an attribute name fragment and an attribute value fragment in the question text according to the character vector sequence, the position vector sequence and the type vector sequence; and according to the attribute name fragment, the attribute value fragment and the information table, determining an answer corresponding to the question text, thereby improving the table-based question answering efficiency and improving the table-based question answering accuracy.
Description
technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to the technical fields of natural language processing and deep learning, and in particular to a table-based question answering method, device and electronic equipment. Background technique [0002] The question answering method in the related art is mainly, according to the input question, convert each character in the question into a character vector, thereby determine the character vector sequence, calculate the probability that each character in the question belongs to a plurality of fixed categories according to the character vector sequence, and The categories in form question answering are not fixed, the question answering efficiency is poor, and the accuracy is low. Contents of the invention [0003] The disclosure provides a form-based question answering method, device and electronic equipment. [0004] According to an aspect of the present discl...
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IPC IPC(8): G06F16/332G06F16/35G06F16/22G06F40/30
CPCG06F16/3329G06F16/35G06F16/2282G06F40/30G06F16/90332
Inventor 何东峰陈炳金涂佳阳林英展黄世维
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD