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Intro
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Classroom Contents
Neural Nets for NLP 2019 - Attention
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- 1 Intro
- 2 Encoder-decoder Models
- 3 Sentence Representations
- 4 Basic Idea (Bahdanau et al. 2015)
- 5 Calculating Attention (2)
- 6 A Graphical Example
- 7 Attention Score Functions (1)
- 8 Input Sentence
- 9 Hierarchical Structures (Yang et al. 2016)
- 10 Multiple Sources
- 11 Coverage • Problem: Neural models tends to drop or repeat
- 12 Incorporating Markov Properties (Cohn et al. 2015)
- 13 در Bidirectional Training
- 14 Hard Attention
- 15 Summary of the Transformer (Vaswani et al. 2017)
- 16 Attention Tricks
- 17 Training Tricks
- 18 Masking for Training . We want to perform training in as few operations as
