Automatic elementary mathematic algebra type question answering method and system

Abstract

The invention discloses an automatic elementary mathematic algebra type question answering method and system. The method comprises the following steps of: question input; question understanding: classifying each category of elementary mathematic algebra type questions and carrying out word segmentation and part-of-speech labelling on question texts; extracting a direct statement mathematic relationship by using a syntax-semantic hybrid model and adding an implicit type mathematic relationship according to question types so as to form an algebra relationship group; machine solution: distributing variables for entities in the formed algebra relationship group, converting the algebra relationship group into an algebra equation group, obtaining an entity-variable comparison table, and automatically solving the algebra equation group by a machine; and quasi-man answer generation: recovering semantic meanings of the variables in the algebra relationship group solution process according to solution sequences of the variables and the entity-variable comparison table, and combining the question texts to form a quasi-man answer process. According to the method and system, the automation degree of answering mathematic algebra type questions can be greatly improved.

Description

technical field [0001] The invention relates to the field of natural language text understanding and machine reasoning in artificial intelligence, in particular to a method and system for automatically answering elementary mathematics algebra-type questions. Background technique [0002] Algebraic questions in elementary mathematics are math questions involving algebraic relationships, including arithmetic word questions, algebra questions, plane geometry calculation questions, travel questions, etc. Since the establishment of the field of artificial intelligence in the 1950s, the automatic answering of elementary mathematics questions has become an active research problem many times. Driven by the technological progress in related fields and the demand for intelligent education, it has become a research hotspot again in recent years. The geometric expert system, answering system, and online answering system of intelligent education services have been put into practical appl...

AI Technical Summary

Problems solved by technology

First of all, the existing automatic answering methods come from many experts and scholars in different fields. The established algorithms are often independent of each other, and there are great differences in answering efficiency and adaptability. system

Secondly, the existing topic understanding often uses shallow analysis techniques such as rules or symbolic logic, and lacks the effective use of deep semantic knowledge such as syntax and semantics, resulting in insufficient ability to understand topics

Finally, the type and range of questions that the current automatic answering system can answer are very limited. In terms of automatic answering of algebraic questions, it can only answer some arithmetic word questions, and lacks theories and methods for answering other types of algebraic questions. The degree of automation of understanding is not high enough to meet the requirements of large-scale promotion and application

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