Question-answering system and question-answering method based on man-machine integration

Abstract

The invention provides a question-answering system based on man-machine integration. The question-answering system based on man-machine integration comprises an input module, a denoising module, a semantic parsing module, an information processing module, an intelligent decision-making module, an output module, a manual customer service processing module and a training module. The invention further provides a question-answering method based on man-machine integration. The method comprises the steps of inputting questioning information; converting the questioning information into standard text formatting information; carrying out denoising and module structuralization on the text formatting information; carrying out semantic parsing on the questioning information; judging an information processing result and making a decision; generating an answer and inputting the answer if the answer is correct; presenting the question to manual customer service to be processed if no answer is available or the answer is wrong, judging again according to a processing result and making a decision, training judging capacity and decision making capacity, and outputting a correct answer. According to the question-answering system and the question-answering method based on man-machine integration, self-learning capacity and self-improving capacity are improved, humanization and intelligentization are improved, and the accuracy and the timeliness of the system are guaranteed.

Description

technical field [0001] The invention relates to the field of information retrieval and query, in particular to a question answering system and method based on man-machine integration. Background technique [0002] Question answering systems are an advanced form of information retrieval systems. It can answer questions raised by users in natural language in accurate and concise natural language. The main reason for the rise of its research is people's demand for fast and accurate access to information. Question answering system is a research direction that has attracted much attention and has broad development prospects in the field of artificial intelligence and natural language processing. [0003] Existing question answering systems are mainly realized through computer algorithmic logic, and the basic process includes three processes of question analysis, information retrieval and answer extraction. In these three processes, if there is a flaw in any link, the user will...

AI Technical Summary

Problems solved by technology

Although this kind of question answering system is adjustable, it does not improve the self-learning and self-improvement capabilities of the question answering system, let alone intelligence; at the same time, this adjustment function is completed through program modules, which lacks manual participation and is humanized. Not strong

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