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OnlyOffice (formerly TeamLab), stylized as ONLYOFFICE, is a free software office suite and ecosystem of collaborative applications. It consists of online editors for text documents, spreadsheets, presentations, forms and PDFs, and the room-based collaborative platform.
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.
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.
Apple Inc.'s TextEdit, the built-in word processing program of Mac OS X, has very basic read and write support for Office Open XML text files starting with Mac OS X v10.5. [6] Atlantis Word Processor includes input and export filters for Office Open XML text documents (DOCX) beginning with version 1.6.3. [7]
Click on the scanned document, click the “send” option in the upper right corner — it looks like an arrow coming out of a box — and hit “Save to Files” at the bottom of the menu.
This task is more complex than table extraction, as table extraction is only the first step, while understanding the roles of the cells, rows, columns, linking the information inside the table and understanding the information presented in the table are additional tasks necessary for table information extraction. [11] [13] [14]
The parties working on the documents see tile-rendered images of the document and send their changes back to the server. The visible user interface of Collabora Online is written in JavaScript . For file access and authentication with a file hosting services, Collabora Online uses the WOPI protocol developed by Microsoft .
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 .