| CPC G06F 16/9024 (2019.01) [G06F 40/20 (2020.01)] | 20 Claims |

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1. A method for processing a workflow chart, comprising:
encoding structural information of the workflow chart comprising a plurality of nodes and a plurality of edges by using a graph neural network to acquire a vector representation of the structural information;
acquiring textual description data about the workflow chart at the nodes;
training a language model based on the acquired textual description data and the acquired vector representation to acquire a pretrained language model, wherein the pretrained language model represents a trained language model prior to fine-tuning in one or more additional training operations to generate a fine-tuned language model; and
fine-tuning the pretrained language model through training data of a specific task to acquire the fine-tuned language model.
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