hrezaei/sparta_wsdm2022

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.

SPARTA

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.

Code

The folder HOPE_data/ contains our complete dataset and the folder SPARTA_model contains the code for the proposed SPARTA architecture.

HOPE Dataset Access Request

To request access to the HOPE Dataset, follow the steps shown below.

1. Fill out the agreement form linked here.
2. Forward the google form's confirmation email to [email protected] requesting access to the dataset.

Citation

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