Completed
Stack LSTM MALOPA
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Continuous State Machines and Grammars for Linguistic Structure Prediction
Automatically move to the next video in the Classroom when playback concludes
- 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
