Language model for abstractive summarization

A system comprising:

• a memory comprising instructions;
• and
• one or more computer processors, wherein the instructions, when executed by the one or more computer processors, cause the system to perform operations comprising:
• training a machine-learning program to create a machine-learning model that estimates a word to be added to a running summary for text being summarized;
• detecting the text to be summarized;
• initializing the running summary;
• performing a plurality of iterations, each iteration comprising:
• providing, to the machine-learning model, the text and the running summary;
• and
• adding, using the machine-learning model, a new word to the running summary;
• and
• storing, on the memory, the running summary as a summary of the text.

A tangible machine-readable storage medium including instructions that, when executed by a machine, cause the machine to perform operations comprising:

• training a machine-learning program to create a machine-learning model that estimates a word to be added to a running summary for text being summarized;
• detecting the text to be summarized;
• initializing the running summary;
• performing a plurality of iterations, each iteration comprising:
• providing, to the machine-learning model, the text and the running summary;
• and
• adding, by the machine-learning model, a new word to the running summary;
• and
• storing, on a memory, the running summary as a summary of the text.