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Referring expression generation(REG) is the subtask of Natural language generation (NLG) that received most scholarly attention. While NLG is concerned with the conversion of non-linguistic information into natural language, REG focuses only on the creation of referring expressions (noun phrases) that identify specific entities called ''targets''. This task can be split into two sections. The ''content selection'' part determines which set of properties distinguish the intended target and the ''linguistic realization'' part defines how these properties are translated into natural language. A variety of algorithms have been developed in the NLG community to generate different types of referring expressions. ==Types of referring expressions== A referring expression (RE), in linguistics, is any noun phrase, or surrogate for a noun phrase, whose function in discourse is to ''identify'' some individual object (thing, being, event...) The technical terminology for ''identify'' differs a great deal from one school of linguistics to another. The most widespread term is probably ''refer'', and a thing identified is a ''referent'', as for example in the work of John Lyons. In linguistics, the study of reference relations belongs to pragmatics, the study of language use, though it is also a matter of great interest to philosophers, especially those wishing to understand the nature of knowledge, perception and cognition more generally. Various devices can be used for reference: determiners, pronouns, proper names... Reference relations can be of different kinds; referents can be in a "real" or imaginary world, in discourse itself, and they may be singular, plural, or collective. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Referring expression generation」の詳細全文を読む スポンサード リンク
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