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Intro
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Classroom Contents
Continuous State Machines and Grammars for Linguistic Structure Prediction
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- 1 Intro
- 2 Linguistic Structure Example: Dependencies
- 3 "Global" or "Graph-Based" Paradigm
- 4 Greedy Parsing with a Stack
- 5 Recurrent Neural Network
- 6 Stack RNN
- 7 Stack LSTM Parser
- 8 Token and Tree Representations
- 9 Learning
- 10 Results (Labeled Attachment Score)
- 11 Variations
- 12 Vanation: Many Languages, One Parser (Ammar et al., TACL 2016)
- 13 Stack LSTM MALOPA
- 14 Tiny Target Treebank: Results
- 15 Zero Target Treebank: Results
- 16 Variation: Add Semantics (Swayamcipta et al., CONLL 2016)
- 17 Linguistic Structure Example: Semantic Dependencies
- 18 Variation: RNN Grammars (Dyer et al., NAACL 2016, Kuncoro et al., EACL 2017)
- 19 Another Linguistic Structure Example: Phrase-Structure Tree
- 20 Better Dependency Parsers?
- 21 Tree & String Generation with a Stack
- 22 Additional Details
- 23 Conclusions
