Neural Nets for NLP 2021 - Neural Nets + Knowledge Bases

Neural Nets for NLP 2021 - Neural Nets + Knowledge Bases

Graham Neubig via YouTube Direct link

Retrofitting of Embeddings to Existing Lexicons (Faruqui et al. 2015)

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10 of 15

Retrofitting of Embeddings to Existing Lexicons (Faruqui et al. 2015)

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Neural Nets for NLP 2021 - Neural Nets + Knowledge Bases

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  1. 1 Intro
  2. 2 Knowledge Bases
  3. 3 WordNet (Miller 1995)
  4. 4 Learning Knowledge Graph Embeddings (Bordes et al. 2013)
  5. 5 Remember: Consistency in Embeddings
  6. 6 Relation Extraction w/ Neural Tensor Networks (Socher et al. 2013)
  7. 7 Distant Supervision for Relation Extraction (Mintz et al. 2009)
  8. 8 Jointly Modeling KB Relations and Text (Toutanova et al. 2015)
  9. 9 Modeling Distant Supervision Noise in Neural Models (Lug et al. 2017)
  10. 10 Retrofitting of Embeddings to Existing Lexicons (Faruqui et al. 2015)
  11. 11 Open Information Extraction (Banko et al 2007)
  12. 12 Neural Models for Open IE
  13. 13 Modeling Word Embeddings vs. Modeling Relations
  14. 14 P-tuning: Directly Optimize Embeddings (Liu et al. 2021)
  15. 15 Nonparametric Models Outperform Parametric Models

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