Semantic Scholar- Tera-Scale NLP to Accelerate Scientific Research--Daniel Weld

Semantic Scholar- Tera-Scale NLP to Accelerate Scientific Research--Daniel Weld

Association for Computing Machinery (ACM) via YouTube Direct link

Interview

38 of 38

38 of 38

Interview

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Semantic Scholar- Tera-Scale NLP to Accelerate Scientific Research--Daniel Weld

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  1. 1 Semantic Scholar
  2. 2 About Semantic Scholar
  3. 3 Longform Language Model
  4. 4 Language Models
  5. 5 Data Resources
  6. 6 White House Contact
  7. 7 Research Journey
  8. 8 Adaptive Research Feed
  9. 9 Research Dashboard
  10. 10 Building a recommendation system
  11. 11 Recommendation based on content
  12. 12 Training data
  13. 13 Citation graphs
  14. 14 Inference
  15. 15 Visualization
  16. 16 Personalized Alerts
  17. 17 Clickthrough Rate
  18. 18 Finding Papers
  19. 19 Semantic Scholar Features
  20. 20 Extreme Summary
  21. 21 TLRs
  22. 22 How good
  23. 23 How informative
  24. 24 Information Nuggets
  25. 25 Accuracy
  26. 26 Initial studies
  27. 27 ScholarPHI system
  28. 28 Demo
  29. 29 User Study
  30. 30 Semantic Reader
  31. 31 Foresight
  32. 32 Summary
  33. 33 Supported Decoding
  34. 34 Restricted Decoding
  35. 35 Roberta
  36. 36 Recap
  37. 37 Thanks
  38. 38 Interview

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