5 papers
Explicit Alignment and Many-to-many Entailment Based Reasoning for Conversational Machine Reading
Yangyang Luo, Shiyu Tian, Caixia Yuan +1
Conversational Machine Reading (CMR) requires answering a user's initial question through multi-turn dialogue interactions based on a given document. Although there exist many effe…
A Task-oriented Dialog Model with Task-progressive and Policy-aware Pre-training
Lucen Zhong, Hengtong Lu, Caixia Yuan +4
Pre-trained conversation models (PCMs) have achieved promising progress in recent years. However, existing PCMs for Task-oriented dialog (TOD) are insufficient for capturing the se…
AKEM: Aligning Knowledge Base to Queries with Ensemble Model for Entity Recognition and Linking
Di Lu, Zhongping Liang, Caixia Yuan +1
This paper presents a novel approach to address the Entity Recognition and Linking Challenge at NLPCC 2015. The task involves extracting named entity mentions from short search que…
Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark
Yuxing Long, Binyuan Hui, Caixia Yuan1 +3
Existing multimodal task-oriented dialog data fails to demonstrate the diverse expressions of user subjective preferences and recommendation acts in the real-life shopping scenario…
An Asynchronous Updating Reinforcement Learning Framework for Task-oriented Dialog System
Sai Zhang, Yuwei Hu, Xiaojie Wang +1
Reinforcement learning has been applied to train the dialog systems in many works. Previous approaches divide the dialog system into multiple modules including DST (dialog state tr…