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