Neural Networks
for NLP

• Beam Search
• A* Search
• Search w/ Future Costs

• No Quiz
• Reference: Google’s Neural Machine Translation System (Wu et al. 2016)
• Reference: Multinomial Length Normalization (Eriguchi et al. 2016)
• Reference: Average Length Normalization (Cho et al. 2014)
• Reference: Mutual Information and Diverse Decoding (Li et al., 2016)
• Reference: Generating High-Quality and Informative Conversation Responses (Shao et al., 2017)
• Reference: Effective Inference for Generative Neural Parsing (Stern et al., 2017)
• Reference: Beam-Search Optimization (Wiseman et al., 2016)
• Reference: Continuous Beam Search (Goyal et al. 2017)
• Reference: A* Parsing (Klein et al., 2003)
• Reference: LSTM CCG Parsing (Lewis et al. 2014)
• Reference: Global Neural CCG Parsing (Lee et al. 2016)
• Reference: Learning to Decode for Future Success (Li et al., 2017)
• Reference: Generative Transition-based Dependency Parsing (Buys et al., 2015)
• Reference: Recurrent Neural Network Grammars (Dyer et al. 2016)
• Reference: Monte Carlo Tree Search (Kumagai et al. 2017)

Slides (from Fall 2017): Search Slides

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