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Intro
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Classroom Contents
Neural Nets for NLP 2017 - Transition-Based Dependency Parsing
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- 1 Intro
- 2 Two Types of Linguistic Structure
- 3 Arc Standard Shift-Reduce Parsing (Yamada & Matsumoto 2003, Nivre 2003)
- 4 Shift Reduce Example
- 5 Classification for Shift-reduce
- 6 Making Classification Decisions
- 7 What Features to Extract?
- 8 Non-linear Function: Cube Function
- 9 Why Tree Structure?
- 10 Tree-structured LSTM (Tai et al. 2015)
- 11 Encoding Parsing Configurations w/ RNNS
- 12 A Simple Approximation: Linearized Trees (Vinyals et al. 2015)
- 13 Recursive Neural Networks (Socher et al. 2011)
