Natural Language Processing (NLP) Performance Measure

A Natural Language Generation (NLG) Performance Measure is a linguistic processing performance measure for an NLG task (and NLG system).

• AKA: NLG Evaluation Metric, NLG Quality Measure, Language Generation Performance Metric.
• Context:
  • It can typically be referenced by an NLG Performance Evaluation Task.
  • It can typically assess NLG Text Fluency through NLG fluency metrics.
  • It can typically evaluate NLG Text Coherence through NLG coherence analysises.
  • It can typically measure NLG Factual Accuracy through NLG fact-checking metrics.
  • It can typically determine NLG Text Relevance through NLG relevance scorings.
  • ...
  • It can often support NLG System Improvement through NLG performance feedback.
  • It can often enable NLG Model Comparison through NLG benchmark scorings.
  • It can often facilitate NLG Quality Control through NLG threshold settings.
  • ...
  • It can range from being an Intrinsic NLG Performance Measure to being an Extrinsic NLG Performance Measure, depending on its NLG evaluation context.
  • It can range from being a Written NLG Performance Measure to being a Spoken NLG Performance Measure, depending on its NLG output modality.
  • It can range from being a Manual NLG Performance Measure to being an Automated NLG Performance Measure, depending on its NLG evaluation methodology.
  • It can range from being an Objective NLG Performance Measure to being a Subjective NLG Performance Measure, depending on its NLG measurement approach.
  • ...
  • It can integrate NLG Reference Comparison with NLG human judgments.
  • It can combine NLG Automatic Scoring with NLG linguistic analysises.
  • It can support NLG Research Tasks through NLG experimental validations.
  • ...
• Example(s):
  • NLG Text Generation Performance Measures, such as:
    • NLG Fluency Measures for NLG text naturalness.
    • NLG Coherence Measures for NLG text structure.
  • NLG Task-Specific Performance Measures, such as:
    • NLG Question-Answering Performance Measure for NLG QA tasks.
    • NLG Essay-Writing Performance Measure for NLG essay generation.
    • NLG Summarization Performance Measure for NLG summary tasks.
  • Named NLG Performance Measures, such as:
    • BLEU Score for NLG translation quality.
    • ROUGE Score for NLG summarization quality.
    • METEOR Score for NLG synonym handling.
    • CIDEr Score for NLG image captioning.
    • Perplexity Measure for NLG language model evaluation.
    • BERTScore for NLG semantic similarity.
  • ...
• Counter-Example(s):
  • NLU Performance Measures, which evaluate natural language understanding tasks rather than NLG output quality.
  • Information Retrieval Performance Measures, which assess search tasks rather than NLG text generation.
  • Software Performance Measures, which evaluate software execution metrics rather than NLG linguistic quality.
• See: Natural Language Generation, Text Summarization, Machine Translation, Language Model, Language Understanding Performance, Controlled-English Generation Task.

---