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Information extraction. Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources. Typically, this involves processing human language texts by means of natural language processing (NLP). [1]
In this example, a pull quote is centered between two columns. The text has been "pulled" from the bottom of the first column. In graphic design, a pull quote (also known as a lift-out pull quote) is a key phrase, quotation, or excerpt that has been pulled from an article and used as a page layout graphic element, serving to entice readers into the article or to highlight a key topic.
Poppler is a free and open-source software library for rendering Portable Document Format (PDF) documents. Its development is supported by freedesktop.org. Commonly used on Linux systems, [4] it powers the PDF viewers of the GNOME and KDE desktop environments.
iText is a library for creating and manipulating PDF files in Java and . NET. It was created in 2000 and written by Bruno Lowagie. The source code was initially distributed as open source under the Mozilla Public License or the GNU Library General Public License open source licenses.
Typical unstructured data sources include web pages, emails, documents, PDFs, social media, scanned text, mainframe reports, spool files, multimedia files, etc. Extracting data from these unstructured sources has grown into a considerable technical challenge, where as historically data extraction has had to deal with changes in physical hardware formats, the majority of current data extraction ...
PDF's emphasis on preserving the visual appearance of documents across different software and hardware platforms poses challenges to the conversion of PDF documents to other file formats and the targeted extraction of information, such as text, images, tables, bibliographic information, and document metadata. Numerous tools and source code ...