Source Grounding Mechanism

A Source Grounding Mechanism is an information verification mechanism that ensures extracted information can be traced back to specific source text locations to prevent hallucination and enable extraction verification.

• AKA: Extraction Grounding, Text Grounding System, Source Attribution Mechanism, Evidence Grounding.
• Context:
  • It can typically maintain Source Text References linking extracted entitys to their original text spans.
  • It can typically provide Character Offset Tracking to identify exact source positions of extracted information.
  • It can typically enable Extraction Confidence Scores based on source alignment strength and context clarity.
  • It can typically support Multi-Source Grounding when information spans multiple document sections.
  • It can typically facilitate Grounding Verification through automated checking of extraction accuracy.
  • ...
  • It can often detect Hallucination Patterns by identifying extracted content without valid source references.
  • It can often improve User Trust by providing transparent evidence for system outputs.
  • It can often enable Error Analysis through grounding failure patterns and extraction mistakes.
  • It can often support Interactive Validation allowing users to verify source claims.
  • ...
  • It can range from being a Simple Source Grounding Mechanism to being a Complex Source Grounding Mechanism, depending on its grounding granularity level.
  • It can range from being a Token-Level Source Grounding Mechanism to being a Document-Level Source Grounding Mechanism, depending on its grounding scope precision.
  • It can range from being a Single-Source Grounding Mechanism to being a Multi-Source Grounding Mechanism, depending on its grounding reference capacity.
  • It can range from being a Strict Source Grounding Mechanism to being a Fuzzy Source Grounding Mechanism, depending on its grounding match tolerance.
  • ...
  • It can integrate with Information Extraction Systems for validated extraction.
  • It can connect to Question Answering Systems for answer verification.
  • It can interface with Fact Checking Systems for claim validation.
  • It can communicate with Document Processing Pipelines for source tracking.
  • It can synchronize with Knowledge Base Systems for provenance management.
  • ...
• Example(s):
  • NLP-Based Source Grounding Mechanisms, such as:
    • LLM Source Grounding Mechanisms, such as:
      • LangExtract Source Grounding Mechanism for llm-based extraction with json source references.
      • OpenAI Function Calling Grounding Mechanism for api-based extraction with source annotations.
    • Traditional NLP Source Grounding Mechanisms, such as:
      • SpaCy Entity Grounding Mechanism for statistical model extraction with token alignments.
      • Stanford NER Grounding Mechanism for rule-based extraction with position tracking.
  • Document-Type Source Grounding Mechanisms, such as:
    • Legal Document Source Grounding Mechanisms, such as:
      • Contract Clause Grounding Mechanism for clause extraction with section references.
      • Citation Grounding Mechanism for legal reference extraction with document links.
    • Scientific Paper Source Grounding Mechanisms, such as:
      • Reference Grounding Mechanism for citation extraction with bibliography mapping.
      • Figure Caption Grounding Mechanism for visual element reference with page locations.
  • ...
• Counter-Example(s):
  • Ungrounded Text Generation, which produces output without source references.
  • Abstract Summarization, which creates new text rather than extracting existing content.
  • Knowledge Graph Embedding, which represents information without textual sources.
  • Generative Model Output, which synthesizes content without grounding requirements.
• See: Information Extraction Task, Entity Reference Grounding Task, Document Grounding System, Extraction Verification Method, Hallucination Detection System, Evidence-Based NLP, Source Attribution System, Text Provenance Tracking, Extraction Validation Framework, Grounded Generation System.

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