CMU Advanced NLP: Information Extraction and Knowledge-Based QA

CMU Advanced NLP: Information Extraction and Knowledge-Based QA

Graham Neubig via YouTube Direct link

Intro

1 of 16

1 of 16

Intro

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Classroom Contents

CMU Advanced NLP: Information Extraction and Knowledge-Based QA

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  1. 1 Intro
  2. 2 Types of knowledge bases
  3. 3 Psych
  4. 4 Learning representations from knowledge bases
  5. 5 TransE method
  6. 6 Relation extraction
  7. 7 Relation classification
  8. 8 Distance supervision noise
  9. 9 Structured knowledge bases
  10. 10 Retraining embeddings
  11. 11 Knowledge injection
  12. 12 Knowledgebased QA
  13. 13 Open Information Extraction
  14. 14 Neural Models
  15. 15 Relations
  16. 16 Relation example

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