Rational Recurrences for Empirical Natural Language Processing

Rational Recurrences for Empirical Natural Language Processing

Center for Language & Speech Processing(CLSP), JHU via YouTube Direct link

Weighted Patterns

4 of 19

4 of 19

Weighted Patterns

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Rational Recurrences for Empirical Natural Language Processing

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 A Bit of History
  3. 3 Outline
  4. 4 Weighted Patterns
  5. 5 Soft Patterns (SoPa)
  6. 6 Two-SoPa Recurrent Neural Network
  7. 7 Experiments
  8. 8 Interpretability (Negative Patterns)
  9. 9 Summary So Far
  10. 10 Simple Recurrent Unit (Lei et al., 2017)
  11. 11 Rational Recurrences and Others
  12. 12 "Unigram" and "Bigram" Models
  13. 13 Interpolation
  14. 14 Sparsity and Structured Sparsity
  15. 15 Benefit of Sparse Lasso
  16. 16 Procedure
  17. 17 Baselines
  18. 18 Visualization
  19. 19 Parting Shots

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.