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An example of a summarization problem is document summarization, which attempts to automatically produce an abstract from a given document. Sometimes one might be interested in generating a summary from a single source document, while others can use multiple source documents (for example, a cluster of articles on the
Data is typically distinguished in spatial data and time-series data, the former can be things like images, maps, graphs, etc. the latter can be e.g. stock-price or a voice recording. 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.
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
Personal injury protection (PIP) is an extension of car insurance available in some U.S. states that covers medical expenses and, in some cases, lost wages and other damages. PIP is sometimes referred to as "no-fault" coverage , because the statutes enacting it are generally known as no-fault laws, and PIP is designed to be paid without regard ...
Personal Injury Protection (PIP): Personal injury protection can cover things like medical payments, lost wages and funeral expenses for yourself and the passengers in your vehicle. It does not ...
Medically Indigent Adults (MIAs) in the health care system of the United States are persons who do not have health insurance and who are not eligible for other health care such as Medicaid, Medicare, or private health insurance. [1] This is a term that is used both medically and for the general public.
Google is using AI to create a somewhat unique approach to reading articles online.As outlined in a Tuesday blog post, Google is applying its generative AI efforts towards something called "SGE ...
According to a report from BuzzFeed News, Facebook is testing an AI-powered tool called TL;DR (Too Long; Didn’t Read) to summarize news pieces, so you don’t even have to click through to read ...
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