Information processing method, device, storage medium and equipment

Abstract

The embodiment of the present application discloses an information processing method, device, storage medium, and equipment, which relate to the field of artificial intelligence technology, wherein the method includes: in response to a retrieval request for target problem information, outputting information associated with the target problem information A list of candidate question information; in response to a selection operation on the target candidate question information in the candidate question information list, output answer information corresponding to the target candidate question information; in response to a confirmation operation on the target answer information, establish the target The question-and-answer correspondence between question information and the target answer information; the target answer information is the answer information corresponding to the target candidate question information, and the question-answer correspondence is used when responding to the retrieval of the target question information again The output of the target answer information is triggered when requested. The application can improve the efficiency of answer information marked with question information and the accuracy of intelligent question and answer.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to an information processing method, device, storage medium and equipment. Background technique [0002] Artificial intelligence software technology mainly includes several major directions such as computer vision technology, speech recognition technology, natural language processing technology, and machine learning / deep learning. Among them, Natural Language Processing (Nature Language Processing, NLP) is an important direction in the field of computer science and artificial intelligence. It studies various theories and methods that can realize effective communication between humans and computers using natural language; it is widely used It is used in fields such as intelligent question answering, machine translation, and establishment of knowledge graphs. [0003] In the field of intelligent question answering, it is mainly beneficial to analyze the ...

AI Technical Summary

Problems solved by technology

At present, the answer information corresponding to the question information is mainly marked by manual labeling, that is, the user needs to manually edit the answer information corresponding to each question information for the user to conduct intelligent question and answer; but this method is relatively inefficient and difficult to satisfy the data The need for rapid updates may lead to wrong answers, resulting in low accuracy of intelligent question and answer

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