Text chain generation method and device, equipment and medium

Abstract

The embodiment of the invention discloses a text chain generation method and device, equipment and a medium, and the method comprises the steps: selecting a to-be-matched phrase chain from a phrase chain set, carrying out the matching of the to-be-matched phrase chain and an initial phrase chain, determining a maximum common subsequence between the to-be-matched phrase chain and the initial phrase chain, and taking the maximum common subsequence as a common node, adding words, except the maximum common subsequence, in the phrase chain to be matched into the initial phrase chain so as to update the initial phrase chain; taking the updated phrase chain as an initial phrase chain, and repeating the steps until all phrase chains in the phrase chain set are traversed; and establishing a connection between a node, which is not connected with any node, on the left side in each branch of the updated phrase chain and a preset public starting node, and establishing a connection between a node, which is not connected with any node, on the right side and a preset public termination node. According to the embodiment of the invention, the phrase set is integrated based on a grammatical structure recombination mode, so that more phrases can be quickly and efficiently generated.

Description

technical field [0001] Embodiments of the present disclosure relate to the field of computer applications, and in particular to a method, device, device and medium for generating text links. Background technique [0002] In advertising or other fields, when the target item needs to be described, the corresponding text content will be searched from the copywriting database. In order to expand the phrase copy database, phrases are usually extracted from existing long related texts, or by training a neural network model, the model generates phrases to generate related phrases from the input text. However, in the existing solutions, the phrase extraction method can only extract words that exist in the existing text, and the vocabulary that can be obtained is still limited. Moreover, the generated words based on the neural network model sometimes do not conform to the language logic, and model training is required. Contents of the invention [0003] Embodiments of the present...

AI Technical Summary

Problems solved by technology

However, in the existing solutions, the phrase extraction method can only extract the words that exist in the existing text, and the vocabulary that can be obtained is still limited.

Moreover, the generated words based on the neural network model sometimes do not conform to the language logic, and model training is also required

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