Language model for abstractive summarization

A system comprising:

• one or more processors;
• and
• one or more computer-readable media storing instructions that, when executed by the one or more processors, cause the system to perform operations comprising:
• training a machine-learning model to output a word to be added to a summary of text, the machine-learning model being trained to output the word based on the text and on the summary of the text;
• accessing the text;
• inputting the text and the summary of the text into the machine-learning model trained to output the word to be added to the inputted summary of the text based on the inputted text and on the inputted summary to which the outputted word is to be added;
• and
• adding the outputted word to the summary of the text.

A non-transitory machine-readable medium storing instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

• training a machine-learning model to output a word to be added to a summary of text, the machine-learning model being trained to output the word based on the text and on the summary of the text;
• accessing the text;
• inputting the text and the summary of the text into the machine-learning model trained to output the word to be added to the inputted summary of the text based on the inputted text and on the inputted summary to which the outputted word is to be added;
• and
• adding the outputted word to the summary of the text.