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IWE combines Word2vec with a semantic dictionary mapping technique to tackle the major challenges of information extraction from clinical texts, which include ambiguity of free text narrative style, lexical variations, use of ungrammatical and telegraphic phases, arbitrary ordering of words, and frequent appearance of abbreviations and acronyms ...
A dictionary coder, also sometimes known as a substitution coder, is a class of lossless data compression algorithms which operate by searching for matches between the text to be compressed and a set of strings contained in a data structure (called the 'dictionary') maintained by the encoder. When the encoder finds such a match, it substitutes ...
This cannot be captured in an XML file. Converting such a binary file will result in a copy of the data element being placed into the XML file. Additionally the binary file has a UID type that is used to identify data items when serialized. The complete list of data that can be stored taken from the C code source file is as follows:
Python uses the + operator for string concatenation. Python uses the * operator for duplicating a string a specified number of times. The @ infix operator is intended to be used by libraries such as NumPy for matrix multiplication. [104] [105] The syntax :=, called the "walrus operator", was introduced in Python 3.8. It assigns values to ...
In Pascal, the command with R do S would execute the command sequence S as if all the fields of record R had been declared as variables. Similarly to entering a different namespace in an object-oriented language like C# , it is no longer necessary to use the record name as a prefix to access the fields.
Sparse dictionary learning (also known as sparse coding or SDL) is a representation learning method which aims to find a sparse representation of the input data in the form of a linear combination of basic elements as well as those basic elements themselves. These elements are called atoms, and they compose a dictionary.
Parsing, syntax analysis, or syntactic analysis is a process of analyzing a string of symbols, either in natural language, computer languages or data structures, conforming to the rules of a formal grammar by breaking it into parts.
The value a is an appropriately chosen value that should be relatively prime to W; it should be large, [clarification needed] and its binary representation a random mix [clarification needed] of 1s and 0s. An important practical special case occurs when W = 2 w and M = 2 m are powers of 2 and w is the machine word size.