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Remember: Modeling using Recurrent Networks
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Classroom Contents
Neural Nets for NLP 2020 - Document Level Models
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- 1 Some NLP Tasks we've Handled
- 2 Some Connections to Tasks over Documents
- 3 Document Level Language Modeling
- 4 Remember: Modeling using Recurrent Networks
- 5 Separate Encoding for Coarse- grained Document Context (Mikolov & Zweig 2012)
- 6 What Context to Incorporate?
- 7 Self-attention/Transformers Across Sentences
- 8 Document Problems: Entity Coreference
- 9 Mention(Noun Phrase) Detection
- 10 Components of a Coreference Model
- 11 Coreference Models:Instances
- 12 Mention Pair Models
- 13 Entity Models: Entity-Mention Models
- 14 Advantages of Neural Network Models for Coreference
- 15 Coreference Resolution w/ Entity- Level Distributed Representations
- 16 Deep Reinforcement Learning for Mention-Ranking Coreference Models
- 17 End-to-End Neural Coreference (Span Model)
- 18 End-to-End Neural Coreference (Coreference Model)
- 19 Using Coreference in Neural Models
- 20 Discourse Parsing w/ Attention- based Hierarchical Neural Networks
- 21 Uses of Discourse Structure
