What is text summarization? Condense sources without inventing their claims
Distinguish summaries from rewriting and fact checks, assessing omissions, attribution and negation.
Understand the concept
Summarization condenses important source information through extraction or paraphrase while preserving meaning. It is not independent fact checking and must not turn suggestions into decisions. Verify facts, attribution and constraints rather than judging brevity, fluency or formatting alone.
Compression selects content and can lose conditions
Hugging Face distinguishes extractive and abstractive summaries and prompts can define scope. Removing “if approved” changes a conditional action into a commitment. A participant’s proposal is not a team decision. Define use and retain critical conditions. Faithful summaries can repeat source errors; verification needs additional evidence.
Check additions and omissions against the same original
For public meeting records, list required decisions and open items and compare each summary claim with originals. Check dates, owners, negation and reversals without filling gaps from assumptions. No model or real meeting was processed here. Preserve source positions so fluent prose cannot hide unsupported conclusions.
Redefine required coverage when the use changes
Briefings and verbatim archives need different coverage. Replay omissions after changes and record corrections. Include source-review effort, not output length alone. Use summaries as indexes linked to full material. Distinguish confirmed and pending facts without portraying proposed checks as tested outcomes. Brevity helps only when needed information survives.
Checked sources
These sources support the concepts and methods described here. Examples and test scope are labeled separately; check the version of the tools you use.