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.

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dbo:abstract
  • 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. (en)
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http://purl.org/linguistics/gold/hypernym
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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. (en)
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  • Referring expression generation (en)
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