Transformers for Extractive Text Summarization - Data Science Applications

Transformers for Extractive Text Summarization - Data Science Applications

Data Science Conference via YouTube Direct link

Custom techniques

10 of 14

10 of 14

Custom techniques

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Transformers for Extractive Text Summarization - Data Science Applications

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  1. 1 Intro
  2. 2 Data Lake
  3. 3 Three steps
  4. 4 Rush metric
  5. 5 Data set
  6. 6 Greedy selection algorithm
  7. 7 Mixed data
  8. 8 Model
  9. 9 Results
  10. 10 Custom techniques
  11. 11 Semantic redundancy
  12. 12 Compression ratio
  13. 13 Results metrics
  14. 14 Questions

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