An Intelligent Solution System Applied to Learning Machine

Abstract

The invention belongs to the field of natural language processing research, and specifically discloses an intelligent answering system applied to a learning machine; comprising the following steps: 1. Semantic analysis unit; 2. Relationship construction unit; 3. Reasoning analysis unit; 4. Answer extraction unit , evaluate the multiple candidate answers obtained, and use the one with the highest evaluation value as the answer to give the system result. This system can be effectively combined with learning machines in the prior art, and is not affected by the amount of questions in the existing learning machines and other question banks, and can automatically analyze, judge and intelligently give answers, effectively filling the gap in this aspect; the present invention There are two main technical effects. One is to construct the relationship correspondence between semantic roles under the real Chinese corpus, forming a reasoning path between questions and answers; A more natural and appropriate answer came out.

Description

technical field [0001] The invention belongs to the research field of natural language processing, in particular to an intelligent answering system applied to a learning machine. Background technique [0002] The method adopted by the early learning machines is to solidify a large number of learning resources such as dictionaries, grammars, and materials on the memory, and provide some auxiliary learning functions for buyers. However, its functions are also greatly limited. When consumers buy a learning machine, the learning assistance they get is limited to the content provided by the learning machine. Its function is relatively simple and cannot be extended. Since 2005, the learning machine has evolved into an audio-visual product that supports different learning forms and diverse subjects. It is mainly reflected in classroom synchronous tutoring, multi-national language learning, application of standard professional dictionaries, etc. [0003] The emergence of intellig...

AI Technical Summary

Problems solved by technology

[0005] In the prior art, there are many products about learning, such as learning machines, many learning software, etc., all of which store the answers and give them directly, especially for the two aspects of text reasoning and reading comprehension. The method is relatively simple, and the number of questions in the system such as learning machines is limited, which has many disadvantages to learning

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