Information Extraction

Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents. In most of the cases this activity concerns processing human language texts by means of natural language processing (NLP). Recent activities in multimedia document processing like automatic annotation and content extraction out of images/audio/video could be seen as information extraction.Due to the difficulty of the problem, current approaches to IE focus on narrowly restricted domains.
Posts about Information Extraction
  • Direct Answers: Extracting Text from Pages Citations

    … as really interesting, please let me know in the comments. Thanks, and I hope you find something really interesting in these. The key modules involved in TextRunner: from “Open Information Extraction from the Web.” [1] M. Banko, M. J. Cafarella, S. Soderland, M. Broadhead, and O. Etzioni. Open information extraction from the web. (pdf) In Proceedings…

    Bill Slawski/ SEO by the Sea- 22 readers -
  • New Panda Update; New Panda Patent Application

    … (where “n” can be a specific number. Google has used n-grams in other ways as well, such as the n-gram viewer A Google Research Blog post, All Our N-gram are Belong to You, tells us of a number of experiments at Google that used n-grams, involving work such as: Statistical machine translation Speech recognition Selling correction Entity detection…

    Bill Slawski/ SEO by the Seain SEO Google- 16 readers -
  • Google First Semantic Search Invention was Patented in 1999

    … and their authors (5 books) into a database called the Web, and finding other web sites with those books, and learning about the different patterns of titles and authors where those are listed, and then scraping similar “tuples” or patterns of objects (books) and their facts (titles) and (authors) on all those pages and learning about other patterns…

    Bill Slawski/ SEO by the Seain Google- 11 readers -
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