Harshit Kumar

End-to-End Deep Reinforcement Learning for Conversation Disentanglement

2023 · Proceedings of the AAAI Conference on Artificial Intelligence

Collaborative Communication platforms (e.g., Slack) support multi-party conversations which contain a large number of messages on shared channels. Multiple conversations intermingle within these messages. The task of conversation disentanglement is to cluster these intermingled messages …

Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF

2018

Dialogue Act recognition associate dialogue acts (i.e., semantic labels) to utterances in a conversation. The problem of associating semantic labels to utterances can be treated as a sequence labeling problem. In this work, we build …

A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection

2019

Harshit Kumar, Arvind Agarwal, Sachindra Joshi. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.