This repository contains the code and dataset for our paper titled Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations accepted at WSDM Conference, 2022.
The folder HOPE_data/ contains our complete dataset and the folder SPARTA_model contains the code for the proposed SPARTA architecture.
To request access to the HOPE Dataset, follow the steps shown below.
- Fill out the agreement form linked here.
- Forward the google form's confirmation email to [email protected] requesting access to the dataset.
If you are using this work or the dataset, cite the paper
Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md Shad Akhtar, and Tanmoy Chakraborty. 2022. Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations. In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM '22). Association for Computing Machinery, New York, NY, USA, 735–745. https://doi.org/10.1145/3488560.3498509
