CASA-Dialogue-Act-Classifier

PyTorch implementation of the paper Dialogue Act Classification with Context-Aware Self-Attention for dialogue act classification with a generic dataset class and PyTorch-Lightning trainer. This implementation has following differences compare to the actual paper

• In this implementation Contextualized Embedding (ie: BERT, RoBERta, etc ) (freezed hence not trainable) is used while paper uses combination of GloVe and ELMo.
• This implementation has simple softmax classifier but paper has CRF classifier.

To Run this on any dialogue act dataset:

• Install the dependencies in a separate python environment.
• Download the dataset and change the directory for th same in config file.
• Change the fields in dataset class
• Run main.py

Note: Scripts was generated form running notebook so if there is any problem in running this please feel free to create an issue.