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An enormous amount of information exists only in natural language form. If this information is to be automatically processed and analyzed, it must be structured in databases. Information Extraction (IE) is the process of identifying and retrieving relevant knowledge from textual documents. Then, the retrieved information is organized in tables or lists.
For example, if we want to know which airlines have the best fares or who signed contracts over the past six months to deliver natural gas, or which jurisdictions have enacted new restrictions on smoking, IE techniques produce lists of organizations instead of retrieving reams of documents that must be manually searched for the information of interest.
IE systems operate on natural language texts, providing databases and enabling input for a wide range of retrospective analyses on reports, presentations, emails or manuals generated primarily in natural language form. Our Information Extraction systems can be easily integrated with various knowledge management and portal resources to work within different business domains.
Our Information Extraction technology was developed by our team of renowned researchers. For the past years, we won, by wide margins, several prestigious competitions and we have been awarded several research contracts for further technology development.
Learn more about our IE solutions at these links:
To learn more about the technology behind our Information Extraction solutions, visit IE Technology.
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