Method for generating summary, electronic device and storage medium thereof

An electronic device, comprising:

• at least one processor;
• and
• a memory connected with the at least one processor communicatively;
• wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform a method for generating a summary, which comprises:
• acquiring a knowledge graph corresponding to a text to be processed, wherein nodes in the knowledge graph represent semantic concepts in the text to be processed, and sides in the knowledge graph represent semantic relationships among the semantic concepts;
• encoding the text to be processed at a token level to obtain a context encoded representation of each token;
• determining an initial representation of each node in the knowledge graph according to the context encoded representation of each token;
• performing an encoding operation according to the initial representation of each node and the connection relationships among the nodes to obtain a node representation of each node;
• and
• performing a decoding operation according to the node representation of each node to obtain the summary of the text to be processed.

A non-transitory computer-readable storage medium comprising instructions, which, when executed by a computer, cause the computer to carry out a method for generating a summary, which comprises:

• acquiring a knowledge graph corresponding to a text to be processed, wherein nodes in the knowledge graph represent semantic concepts in the text to be processed, and sides in the knowledge graph represent semantic relationships among the semantic concepts;
• encoding the text to be processed at a token level to obtain a context encoded representation of each token;
• determining an initial representation of each node in the knowledge graph according to the context encoded representation of each token;
• performing an encoding operation according to the initial representation of each node and the connection relationships among the nodes to obtain a node representation of each node;
• and
• performing a decoding operation according to the node representation of each node to obtain the summary of the text to be processed.