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    Computational systems for natural language generation tha... — Carmelics
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    Challenges→Language generation has traditionally received less attention from computational linguists than language understanding

    Computational systems for natural language generation that model Gricean maxims (e.g., Dale & Reiter's work on referring expression generation) represent a sustained and theoretically sophisticated research tradition.

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    Key Terms

    Computational systems(as used in artificial intelligence and language technology)
    Computer programs designed to perform specific tasks, in this case creating human-like text automatically.
    Dale & Reiter(as researchers in computational linguistics)
    Two computer scientists (Robert Dale and Ehud Reiter) who created influential methods for teaching computers to generate descriptions of things in natural language.
    Gricean maxims(as used in philosophy of language and communication)
    A set of four rules for how people should communicate clearly and helpfully, developed by philosopher Paul Grice—basically: be truthful, informative, relevant, and clear.
    Natural language generation(as used in artificial intelligence)
    The ability of computers to write or speak in human languages (like English) in a way that sounds natural and makes sense.

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    Paul Grice(as a philosopher referenced in philosophy of language)
    A 20th-century philosopher who studied how language works in conversation and developed influential ideas about what makes communication successful.
    Referring expression generation(as used in natural language processing)
    The task of getting a computer to create a description of something (like 'the tall man in the blue shirt') that helps someone identify exactly which thing you mean.
    Research tradition(as used in describing scholarly fields)
    An ongoing line of study where scholars build on each other's work over time, developing shared methods and goals.

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    Philosophy of Language1 linked

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    Language generation has traditionally received less attention from computational...

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