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Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
Users can use the tool to paraphrase text being composed on services like Gmail, Google Docs, Facebook, Twitter, and LinkedIn. [ 10 ] On November 14, 2021, AI21 released Wordtune Read — an AI-powered Chrome extension and standalone app designed to process large amounts of written text from websites, documents, or YouTube videos, and summarize ...
Such text compilations should also follow basic requirements for an overview text compiled by a human. The multi-document summary quality criteria are as follows: clear structure, including an outline of the main content, from which it is easy to navigate to the full text sections; text within sections is divided into meaningful paragraphs
[51] [93] The company also states that Copilot is able to create PowerPoint presentations that summarize information from user-selected Word documents and Excel spreadsheets, or from user prompts. [ 93 ] [ 95 ] Additionally, this tool can adjust text formatting, animation timing, and presentation style and length based on user prompts ...
Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial. Historically in machine learning spatial data was analyzed using a convolutional neural network , and temporal data using a recurrent neural network .
Sentence extraction is a technique used for automatic summarization of a text. In this shallow approach, statistical heuristics are used to identify the most salient sentences of a text. Sentence extraction is a low-cost approach compared to more knowledge-intensive deeper approaches which require additional knowledge bases such as ontologies ...
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