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Intro
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Classroom Contents
Neural Nets for NLP 2020 - Generating Trees Incrementally
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- 1 Intro
- 2 Two Common Types of Linguistic Structure
- 3 Semantic Parsing: Another Representative Tree Generation Task
- 4 Shift Reduce Example
- 5 Classification for Shift-reduce
- 6 Making Classification Decisions
- 7 What Features to Extract?
- 8 Why Tree Structure?
- 9 Recursive Neural Networks (Socher et al. 2011)
- 10 Why Linguistic Structure?
- 11 Clarification about Meaning Representations (MRS) Machine-executable MRs (our focus today) executable programs to accomplish a task MRs for Semantic Annotation capture the semantics of natural langua…
- 12 Core Research Question for Better Models How to add inductive blases to networks a to better capture the structure of programs?
- 13 Summary: Supervised Learning of Semantic Parsers Key Question design decoders to follow the structure of programs
