8 citations · 12 across the 16 of their papers we have counts for
5 papers · 1 filter
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…
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…
SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph
Yuxing Long, Binyuan Hui, Fulong Ye +5
Existing multimodal conversation agents have shown impressive abilities to locate absolute positions or retrieve attributes in simple scenarios, but they fail to perform well when…