Domain-Specific Automated Text Summarization Task

A Domain-Specific Automated Text Summarization Task is a automated text summarization task that is a domain-specific NLG task.

• Context:
  • input: Application Domain, Domain-Specific Summarization Questions.
    • intput (optional): Knowledge Base.
  • measure: DS QA Performance Measure.
  • It can be solved by a Domain-Specific QA System (that implements a domain-specific QA algorithm.
  • It can be associated with a DS QA Evaluation Task.
  • It can range from being a Manual Domain-Specific Text Summarization Task to being an Automated Domain-Specific Text Summarization Task.
  • It can range from being a Single-Document Domain-Specific Text Summarization Task to being a Multi-Document Domain-Specific Text Summarization Task.
  • It can range from being a Topic-Specific Domain-Specific Text Summarization Task to being a Guided Domain-Specific Text Summarization Task.
  • It can range from being an Extractive Domain-Specific Text Summarization Task to being an Abstractive Domain-Specific Text Summarization Task.
  • …
• Example(s):
  • An Academic Document(s) Summarization Task, such as summarizing scientific research papers.
  • A Legal Document(s) Summarization Task, such as court judgment summarization or contract-related summarization.
  • A Financial Document(s) Summarization Task.
  • A Healthcare Document(s) Summarization Task.
  • Domain-Specific Information Extraction.
  • Domain-Specific News Article Summarization (a focused news article summarization).
  • …
• Counter-Example(s):
  • Open-Topic Text Summarization.
  • Domain-Specific QA.
• See: Text Curation, Domain-Specific Language Model, Automated Content Analysis.

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