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Intro
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Neural Nets for NLP 2020 - Neural Nets + Knowledge Bases
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- 1 Intro
- 2 Knowledge Bases . Structured databases of knowledge usually containing
- 3 WordNet (Miller 1995)
- 4 Decomposable Relation Model (Xie et al. 2017) • Idea: There are many relations, but each can be represented by a limited number of concepts • Method: Treat each relation map as a mixture of concepts,…
- 5 Multi-hop Relational Context w/ Graph Neural Networks (Schlichtbruil et al., 2017)
- 6 Knowledge Base Incompleteness
- 7 Relation Extraction w/ Neural Tensor Networks (Socher et al. 2013)
- 8 Distant Supervision for Relation Extraction (Mintz et al. 2009)
- 9 Relation Classification w/ CNNS (Zeng et al. 2014)
- 10 Jointly Modeling KB Relations and Text (Toutanova et al. 2015) To model textual links between words w neural net: aggregate over multiple instances of links independency tree
- 11 Modeling Distant Supervision Noise in Neural Models (Luo et al. 2017) • Idea: there is noise in distant Supervision labels, so we want to model it
- 12 Retrofitting of Embeddings to Existing Lexicons (Faruqui et al. 2015)
- 13 Reasoning over Text Corpus as a Knowledge Base (Dhingra et al. 2020)
