A method for enhancing the authenticity of scenes in text-scene conversion

Abstract

The invention claims to protect a method for enhancing the authenticity of scenes during scene conversion. The method includes: step 1, obtaining a plurality of Chinese documents describing a certain scene from the Internet, and constructing a scene corpus. Step 2: Segment the documents in the corpus without deduplication; then perform de-stay word processing on the documents after segmentation. Step 3: Use the processed documents to perform statistical analysis on the entity nouns in the scene description. Step 4: Use statistical indicators to analyze scene category characteristics. Step 5: Use entity nouns to represent the concept of the scene, and establish a scene concept dictionary. The purpose of the present invention is to establish the "word-category" association between entity words and scene words, analyze the general characteristics of "category", realize the concept representation of a certain scene word, and provide support for the analysis of scene entity elements in the context conversion, In this way, the generated scene conforms to people's common sense cognition, has a complete background environment, and enhances the sense of reality of the scene.

Description

technical field [0001] The invention belongs to the field of text visualization, and in particular relates to a method for enhancing the authenticity of scenes during text scene conversion. Background technique [0002] Context conversion is a relatively cutting-edge research topic at present. Context conversion basically refers to the ability to convert the symbols of text information into visual analog representations. There are several reasons for the appropriate modeling of this conversion process. A meaningful application is the modeling of human psychological conditions, and another meaningful point is to help understand a story. A third related area is cognitive modeling, applying a large variety of knowledge to interpret a description. Realizing text visualization not only needs to satisfy the description of the text, but also needs to satisfy the actual situation of the scene and the entity. [0003] According to domestic and foreign scientific and technological ...

AI Technical Summary

Problems solved by technology

However, there is no in-depth discussion of the "scene" described in the text

In the existing text-scene conversion system, the input text is mostly simple text, and the generated scene only contains the entities described in the text. The scene does not have obvious category characteristics and background environment, does not have a sense of reality, and the practical significance is not strong

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