Automated Domain-Specific Writing Task
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A Automated Domain-Specific Writing Task is an NLG task that is a domain-specific NLP task.
- AKA: Domain-Specific NLG Writing.
- Context:
- Output: Domain-Specific NLG Task Output (Machine Written text tailored to a specific domain)
- Performance Measure: Domain-Specific NLG Performance Measure, such as Domain Relevance and Technical Accuracy
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- It can range from being a Narrow Domain NLG Task to being a Broad Domain NLG Task, based on domain scope.
- It can range from being a Terminology-Focused NLG Task to being a Context-Focused NLG Task, based on domain knowledge depth.
- It can range from being a Single-Purpose Domain NLG Task to being a Multi-Purpose Domain NLG Task, based on task versatility.
- It can range from being a Short-form Domain NLG Task to being a Long-form Domain NLG Task, based on text length.
- It can range from being a Constratined Domain-Specific NLG to being Unconstrained Domain-Specific NLG.
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- It can be solved by a Domain-Specific NLG System (that implements a domain-specific text generation algorithm)
- It can be supported by a Domain-Specific Natural Language Understanding Task
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- Example(s):
- Counter-Example(s):
- See: Automated Language Generation (NLG) Task, Domain-Specific NLP Task, Specialized Text Generation, Content Generation for Vertical Markets, Industry-Specific Language Models.