AI Terms: Abstractive summarization

Abstractive summarization – Using natural language techniques to interpret and understand the important aspects of a text and generate a summary.  On the other hand, extractive summarization identifies important sections from text and producing a subset of sentences from the original text. While abstractive summarization generates entirely new sentences sometimes not found in the source material, extractive summarization sticks to the original text. Abstractive summarization is better when the meaning is more important and extractive summarization is better when sticking to the original language is more important.

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