Long-Form Natural Language Generation (NLG) Output Task

A Long-Form Natural Language Generation (NLG) Output Task is a NLG task that involves generating extended sequences of text.

• Context:
  • It can (typically) produce Narrative Text or Expository Text depending on the specific requirements.
  • It can (often) utilize Deep Learning Models like Transformer (Model) and RNN to generate coherent and contextually relevant text.
  • It can range from generating a few paragraphs in a News Article Generation Task to multiple pages in a Book Drafting Task.
  • It can require significant computational resources and sophisticated Language Model Tuning to maintain quality over long text spans.
  • It can be used in applications like Automated Report Generation, Creative Writing Assistance, and Educational Content Production.
  • ...
• Example(s):
  • a Long-Form Chatbot designed to generate extended essays on specific topics, showcasing its use in educational technology.
  • a Content Generation System that automates the creation of long-form journalistic content, demonstrating its utility in the media industry.
  • a Automated Contract Drafting Task a contract drafting task.
  • ...
• Counter-Example(s):
  • Short Text Output Tasks, such as generating titles or small labels, which require brevity and conciseness rather than extended discourse.
  • ...
• See: Text Summarization Task, Machine Translation Task

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