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      • Overview
      • Extractive summarisation
      • Abstractive summarisation
      • Summarising a document longer than the context window
      • Query-focused summarisation
      • Summarising many documents at once
      • Summarising meetings and conversations
      • Fine-tuning your own summariser
      • Controlling summary length
      • When a summary says something the source never said
      • Prompt an LLM or fine-tune a small model?
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  3. Summarisation

💬 Language and NLP · Section 051

✂️ Summarisation

Making long text short, either by picking the best sentences or by writing brand-new ones.

Every lesson in this section is written by Pranay Mahendrakar.

10 of 10 lessons published · Three reading levels on every lesson

Start with “Extractive summarisation”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. 01 Extractive summarisation
  2. 02 Abstractive summarisation
  3. 03 Summarising a document longer than the context window
  4. 04 Query-focused summarisation
  5. 05 Summarising many documents at once
  6. 06 Summarising meetings and conversations
  7. 07 Fine-tuning your own summariser
  8. 08 Controlling summary length
  9. 09 When a summary says something the source never said
  10. 10 Prompt an LLM or fine-tune a small model?
Previous Question Answering Next Sentiment, Opinion and Text Mining

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