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Automatic content extraction. Automatic content extraction ( ACE) is a research program for developing advanced information extraction technologies convened by the NIST from 1999 to 2008, succeeding MUC and preceding Text Analysis Conference .
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]
Tesseract is an optical character recognition engine for various operating systems. [ 5] It is free software, released under the Apache License. [ 1][ 6][ 7] Originally developed by Hewlett-Packard as proprietary software in the 1980s, it was released as open source in 2005 and development was sponsored by Google in 2006. [ 8]
After a user marks the text in an image, Copyfish extracts it from a website, video or PDF document. [3] [4] Copyfish was first published in October 2015.
Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...
Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions.
Knowledge extraction is the creation of knowledge from structured ( relational databases, XML) and unstructured ( text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing. Although it is methodically similar ...
The separation of the later provided by the edges greatly increase the usability of MSER in the extraction of blurred text. [8] An alternative use of MSER in text detection is the work by Shi using a graph model. This method again applies MSER to the image to generate preliminary regions.
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