Salesforce research

#artificialintelligence 

For each generated word, the model pays attention to specific words of the input and the previously generated output. Automatic summarization models can work in one of two ways: by extraction or by abstraction. Extractive models perform "copy-and-paste" operations: they select relevant phrases of the input document and concatenate them to form a summary. They are quite robust since they use existing natural-language phrases that are taken straight from the input, but they lack in flexibility since they cannot use novel words or connectors. They also cannot paraphrase like people sometimes do.