Semantic Parsing with Encoder-Decoder Models
- Implemented an Encoder-Decoder model for semantic parsing with Pytorch
- Implemented a decoder by using LTSM whose output is passed to a feedforward layer and a softmax over the vocabulary
- Added attention mechanisms to the model to make it more powerful and faster to train