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  2. Document AI - Wikipedia

    en.wikipedia.org/wiki/Document_ai

    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.

  3. Okapi BM25 - Wikipedia

    en.wikipedia.org/wiki/Okapi_BM25

    BM25 is a bag-of-words retrieval function that ranks a set of documents based on the query terms appearing in each document, regardless of their proximity within the document. It is a family of scoring functions with slightly different components and parameters.

  4. Intelligent character recognition - Wikipedia

    en.wikipedia.org/wiki/Intelligent_character...

    It is a more sophisticated type of OCR technology that recognizes different handwriting styles and fonts to intelligently interpret data on forms and physical documents. [ 1 ] These paper-based papers are scanned, the information is extracted, and the data is then digitally stored in a database program using ICR technology.

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  6. Document processing - Wikipedia

    en.wikipedia.org/wiki/Document_processing

    Document processing is a field of research and a set of production processes aimed at making an analog document digital. Document processing does not simply aim to photograph or scan a document to obtain a digital image , but also to make it digitally intelligible.

  7. Information extraction - Wikipedia

    en.wikipedia.org/wiki/Information_extraction

    Recent effort on adaptive information extraction motivates the development of IE systems that can handle different types of text, from well-structured to almost free text -where common wrappers fail- including mixed types. Such systems can exploit shallow natural language knowledge and thus can be also applied to less structured texts.

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