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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
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.
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.
The idea is that you open a long-form article of some kind and Google's AI puts together a bullet-point list of key points within the article. Click on one, and it's supposed to take you to the ...
Together with results from HDBSCAN, users can generate topic hierarchies, or groups of related topics and subtopics. Furthermore, a user can use the results of top2vec to infer the topics of out-of-sample documents. After inferring the embedding for a new document, must only search the space of topics for the closest topic vector.
Personal injury is a legal term for an injury to the body, mind, or emotions, as opposed to an injury to property. [1] In common law jurisdictions the term is most commonly used to refer to a type of tort lawsuit in which the person bringing the suit (the plaintiff in American jurisdictions or claimant in English law) has suffered harm to their ...
Artificial intelligence (AI) has been used in applications throughout industry and academia. In a manner analogous to electricity or computers, AI serves as a general-purpose technology that has numerous applications, including language translation, image recognition, decision-making, [1] [2] credit scoring and e-commerce.
The graphic is intended to summarize or be an exemplar for the main thrust of the article. It is not intended to be as exhaustive a summary as the text abstract, rather it is supposed to indicate the type, scope, and technical coverage of the article at a glance.