Computer-aided science popularization article writing method based on a knowledge graph

Abstract

The invention provides a computer-aided science popularization article writing method based on a knowledge graph, which comprises the following steps: collecting a material from a material library, identifying keywords and entity nouns in the material material, calculating word dependence probability, generating word vectors, or obtaining related data by applying other natural language processingalgorithms; carrying out machine learning on the material, mining out related professional knowledge, structuring the professional knowledge related to the material to form a knowledge graph, and generating an article framework; providing targeted reference data according to the writing content and personal characteristics of an editor, and generating an article; an article generated by a machineis manually reaudited and corrected, an audit and correction result is fed back to the machine learning end, the machine learning end carries out audit, and wrongly written characters and wrongly written words are automatically corrected by utilizing a knowledge graph and a model obtained through previous machine learning training, so that the final article is completed. An artificial intelligencetechnology is utilized to assist editors in writing professional science popularization articles, so that the writing efficiency and professionality of the articles are improved.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a method for computer-aided writing of popular science articles based on knowledge graphs. Background technique [0002] Traditional computer-aided writing systems, such as word, only provide functions such as review, spelling and grammar checking, and annotation, but these functions can only assist the act of writing to a certain extent and improve writing efficiency, but they cannot improve writing quality. Going a step further, such as Google Docs, which not only provides most of the auxiliary functions of word, but also provides a multi-person collaboration mode, which further improves writing efficiency, but it does not help to improve writing quality. Recently, many large companies have proposed artificial intelligence-assisted writing solutions, claiming to be able to output high-speed and high-quality text writing content, but from known sources, they can on...

AI Technical Summary

Problems solved by technology

[0002] Traditional computer-assisted writing systems, such as word, only provide functions such as review, spelling and grammar checking, and annotation, but these functions can only assist the act of writing to a certain extent, improve writing efficiency, but cannot improve writing quality

Further, such as Google Docs, which not only provides most of the auxiliary functions of word, but also provides a multi-person collaboration mode, which further improves writing efficiency, but it does not help to improve writing quality

Recently, many large companies have proposed artificial intelligence-assisted writing solutions, claiming to be able to output high-speed and high-quality text writing content, but from known sources, they can only write non-professional articles such as novels, prose, and poetry. limited writing help

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