Towards Large-Scale Natural Language Inference with Distributional Semantics

Towards Large-Scale Natural Language Inference with Distributional Semantics

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

Intro

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1 of 23

Intro

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Towards Large-Scale Natural Language Inference with Distributional Semantics

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  1. 1 Intro
  2. 2 Automatic Summarization
  3. 3 Patient Record Data for Depression
  4. 4 Natural Language Inference
  5. 5 Logical Semantics
  6. 6 Distributional Semantics (DS)
  7. 7 Compositional DS
  8. 8 Evaluating DS by Similarity Judgments
  9. 9 Structure Induction
  10. 10 Basic Structure of DSHMM
  11. 11 Text Analytics Conference 2010
  12. 12 Slot Induction Results
  13. 13 DSHMM for Summarization
  14. 14 Summarization Results
  15. 15 Sample Summary
  16. 16 A New Evaluation Framework
  17. 17 Argument Structure Invariance
  18. 18 Task Descriptions
  19. 19 Distributional Semantic Models
  20. 20 Evaluation Results
  21. 21 Opinion Summarization
  22. 22 Semantic Knowledge Induction
  23. 23 Abstractive Summarization

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