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