For a formal definition of document in the Information Retrieval context, you can look at IR glossaries. A common definition is: Document: Specific unit of retrieval (usually text). It can be a web page, an article, a book, a section or chapter.

Document Information Extraction helps you to process large amounts of business documents that have content in headers and tables. You can use the extracted information, for example, to automatically process payables, invoices, or payment notes while making sure that invoices and payables match.

The task of document information retrieval is to retrieve relevant doc- uments in response to a query that describes a user's information need. Its basic operation is to measure the similarity between a document and a. query. Documents with high similarity are presented to the user as the re-

A document retrieval system is comprised of three core modules: document processor, query analyzer, and matching function. There are several theoretical models on which document retrieval systems are based: Boolean, Vector Space, Probabilistic, and Language Model.

With the Print List option you can print or download a list of documents from the List View page (Workspace, Filter, Folder, Saved Search or Search Results).

Document retrieval is all about getting the right documents to the right people, instantly. This is a combination of search criteria and security.

Document classification is the process of assigning a document to relevant categories for easy management and analysis. Automatic document classification techniques are paramount in information retrieval systems, such as search engines, for making it easier for users to find what they're looking for.