A method and a device for analyzing a table wrapping and a page wrapping

Abstract

The invention provides an analysis method for table line and page changing, which comprises the following steps: judging the definite line and page changing situation through the expert experience summary rule; The tagged corpus is obtained by using depth learning model. According to the tagged corpus and the training depth learning language model, it is judged whether two adjacent cells can be merged or not. The device for implementing the method comprises: a wrapping and page-changing condition judging module for judging a definite wrapping and page-changing condition through an expert experience summary rule; and a wrapping and page-changing condition judging module for judging a definite wrapping and page-changing condition. The tagged corpus acquisition module is used for acquiring the tagged corpus acquisition module of the tagged corpus by using the depth learning model. A cell merge judging module is used for judging whether two adjacent cells can be merged according to the tagged corpus and the training depth learning language model. The invention utilizes a depth learning model to mine semantic information contained in a table, and can accurately analyze whether two adjacent cells can be merged in a line and page changing scene.

Description

technical field [0001] The invention relates to an identification method, in particular to an analysis method and device for line-changing and page-changing of tables. Background technique [0002] In recent years, deep learning technology has been widely used in many fields such as natural language processing, graphics and images, and automatic driving, and its performance is significantly better than traditional methods. [0003] In the field of natural language processing, deep learning technology can capture deep-level grammatical and semantic information by encoding text in high-dimensional space, thus providing a technical basis for further advanced applications in the field of natural language processing starting from semantics. [0004] In text information processing, there are a large number of tables with different styles. There are still many problems with current technology for the extraction of tabular information. For example, when there is a page break or li...

AI Technical Summary

Problems solved by technology

For example, when there is a page break or line break, it is difficult to judge the line break or non-line break simply by the separator line or simple rules

For the case of no table line, it is difficult for the computer to make an accurate judgment on whether two adjacent rows output the same cell

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