Explainable Span Extraction Algorithm

An Explainable Span Extraction Algorithm is a span extraction algorithm that is an interpretable algorithm providing explicit mappings between extracted spans and the NLU decisions they support.

• AKA: Interpretable Extraction Algorithm, Span-Purpose Mapping Algorithm.
• Context:
  • It can typically generate Span-Decision Matrixes showing support relationships.
  • It can typically compute Importance Scores for each extraction.
  • It can typically maintain Provenance Information throughout extraction process.
  • It can typically produce Structured Explanations alongside span outputs.
  • It can typically enable Ablation Testing on extracted spans.
  • ...
  • It can often employ Attention Mechanisms for importance weighting.
  • It can often utilize Gradient-Based Methods for attribution analysis.
  • It can often incorporate Rule-Based Components for transparency.
  • It can often implement Multi-Stage Processes with intermediate explanations.
  • ...
  • It can range from being a Model-Agnostic Algorithm to being a Model-Specific Algorithm, depending on its applicability scope.
  • It can range from being a Local Explanation Algorithm to being a Global Explanation Algorithm, depending on its explanation coverage.
  • ...
  • It can be implemented by an Explainable Span Extraction System.
  • It can solve an Explainable Span Extraction Task.
  • It can produce Interpretable Outputs for human understanding.
  • It can support Model Debugging and improvement.
  • ...
• Example(s):
  • Integrated Gradient Algorithms for span attribution.
  • SHAP-Based Extraction computing Shapley values for spans.
  • Attention-Weighted Extraction using self-attention scores.
  • Prototype Matching Algorithms finding similar examples.
  • Rule-Augmented Neural Algorithms combining patterns and learning.
  • ...
• Counter-Example(s):
  • Pure Neural Algorithms, which lack explanation mechanism.
  • Heuristic Extraction Algorithms, which use fixed rules without justification.
  • Black-Box Algorithms, which provide no decision insight.
• See: Interpretable Machine Learning Algorithm, Explainable AI Algorithm, Information Extraction Algorithm, Attribution Method.

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