Question answering method based on active learning and question answering system using this method

Abstract

The invention discloses an initiative study-based questioning and answering method and a questioning and answering system adopting the initiative study-based questioning and answering method, wherein the Initiative study-based questioning and answering method comprises the following steps of (1) performing question inputting; (2) performing pretreatment; (3) performing feature extraction; (4) performing question understanding; (5) performing judgment of confidence, a threshold value and credibility; (6) performing information retrieval and information processing; (7) performing answer extraction; (8) performing initiative study; (9) performing guide questioning according to the specific type of the question when the confidence is lower than the credibility, initiatively guiding a user to question without ambiguity and performing a new round of more effective questioning and answering. The questioning and answering system comprises five modules including a question inputting module, a pretreatment module, a semantics understanding module, an initiative study module and an answer outputting module.

Description

technical field [0001] The invention belongs to the field of artificial intelligence, and in particular relates to an intelligent question answering method and a question answering system. Background technique [0002] In recent years, with the rapid development of network and information technology, people's desire to obtain information faster and more accurately has also promoted the development of automatic question answering technology. Recently, more and more companies and research institutes have participated in the research of automatic question answering technology. For example, well-known multinational companies such as Google, Microsoft, Apple and IBM. At the annual Text Information Retrieval (TREC) conference, automatic question answering (Question Answering Track) has gradually become one of the most concerned topics. More and more universities and scientific research institutions have participated in the Question Answering Track of the TREC conference. At the...

AI Technical Summary

Problems solved by technology

[0004] The current question answering system cannot accurately identify and analyze ambiguous complex structures

Usually the result of semantic understanding is isolated, rather than related to user needs, so it is impossible to know the intention of problem understanding

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