4 papers
Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation
Yuncheng Hua, Xiangyu Xi, Zheng Jiang +4
End-to-end generation-based approaches have been investigated and applied in task-oriented dialogue systems. However, in industrial scenarios, existing methods face the bottlenecks…
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems
Weihao Zeng, Keqing He, Zechen Wang +8
Recent advances in neural approaches greatly improve task-oriented dialogue (TOD) systems which assist users to accomplish their goals. However, such systems rely on costly manuall…
Unified Knowledge Prompt Pre-training for Customer Service Dialogues
Keqing He, Jingang Wang, Chaobo Sun +1
Dialogue bots have been widely applied in customer service scenarios to provide timely and user-friendly experience. These bots must classify the appropriate domain of a dialogue,…
A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example
Xiangyu Xi, Chenxu Lv, Yuncheng Hua +5
Though widely used in industry, traditional task-oriented dialogue systems suffer from three bottlenecks: (i) difficult ontology construction (e.g., intents and slots); (ii) poor c…