3 papers
cs.CL2024
Conversation Disentanglement with Bi-Level Contrastive Learning
Chengyu Huang, Zheng Zhang, Hao Fei +1
Conversation disentanglement aims to group utterances into detached sessions, which is a fundamental task in processing multi-party conversations. Existing methods have two main dr…
cs.CL2024
A Survey on Neural Question Generation: Methods, Applications, and Prospects
Shasha Guo, Lizi Liao, Cuiping Li +1
In this survey, we present a detailed examination of the advancements in Neural Question Generation (NQG), a field leveraging neural network techniques to generate relevant questio…
cs.IR2024
Towards Human-centered Proactive Conversational Agents
Yang Deng, Lizi Liao, Zhonghua Zheng +2
Recent research on proactive conversational agents (PCAs) mainly focuses on improving the system's capabilities in anticipating and planning action sequences to accomplish tasks an…