Document summarization is the process of creating a concise and coherent summary of a longer text document. It involves distilling the main ideas and key points from the content while retaining its essential meaning. Summarization can be performed manually by a reader, or automatically using natural language processing (NLP) techniques. There are two primary types of document summarization: extractive and abstractive.
Extractive summarization involves selecting and extracting important sentences or phrases directly from the original document, preserving the language and structure of the original text. On the other hand, abstractive summarization generates new sentences that convey the core ideas of the document, potentially rephrasing or paraphrasing the original content.
The goal of document summarization is to provide readers with a quick understanding of the document without needing to read the entire text, making it useful for information retrieval, content curation, and enhancing productivity in environments where large amounts of text data need to be processed.
Microsoft has introduced an innovative feature in Word, leveraging artificial intelligence to enable users to effortlessly generate concise summaries of their documents. This tool, known as Copilot, aims to streamline…