Sentence examples for semantics of documents from inspiring English sources

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While capturing the semantics of documents, statistical semantic model computes the similarities between documents with co-occurrence matrix of terms, and embedded vector model uses neighbor(s) to represent the meaning of a target term; however, both of them cannot describe the term orders in a document.

This results in improvements in the study of hidden semantics of documents compared with previous models like Latent Semantic Indexing (LSI) [ 3], probabilistic LSI [ 4], vector semantics [ 5] and so on.

The key building block is the Resource Description Framework (RDF), which provides a way to refer to different objects (such as sets of data) and the relationships between them the underlying semantics of documents and data.

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The HL7 Clinical Document Architecture (CDA) is a document markup standard that specifies the structure and semantics of clinical documents in order to standardize them for exchange.

CDA [11] is a document markup standard for the structure and semantics of clinical documents.

Clinical document architecture (CDA), developed by the HL7, is a standard for defining the structure and semantics of clinical documents required in the exchange of an environment of interoperability, formerly known as the patient record architecture.

However, at present most codes have not adopted this and we have therefore written a series of converters based on a declarative parsing technology (JUMBO-Parser) which allows for very high (greater than 95%) precision and recall of the structure and semantics of the documents.

As well as a desire to make the digital analogue, she says she loves the fact that the Wiki page on the original covenant is a constant work in progress, attracting 150,000 visits each month for tiny edits and arguments about the precise history and semantics of the document.

In archiving material, XML can represent the semantics of a document and is frequently used by electronic archivists.

This expert is able to select those concepts or categories that best describe the semantics of each document.

An important feature of this design is the application of knowledge representation technology—specifically conceptual structures to explicitly capture and represent the navigational semantics of each document.

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