Table information extraction method and system for target attribute details table and medium

Abstract

The application relates to the technical field of natural language processing and information extraction, and discloses a table information extraction method and system for an object attribute detail table and a medium. The method comprises the following steps: obtaining an HTML document of a target table, and preprocessing the HTML document to obtain a text string of the target table; extracting a plurality of features in the text string to construct a feature matrix; the plurality of features comprise text features, position features and label features; inputting the feature matrix into a trained cell classification model to output all cell category discrimination results of the target table; and performing path query in all cells of the target table based on the cell category discrimination results, so that all data information capable of forming groups in the target table is obtained. The application improves the accuracy and universality of table information extraction.

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