Paper Info
Title
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems.
Abstract
Intelligent personal assistant systems with either text-based or voice-based conversational interfaces are becoming increasingly popular around the world. Retrieval-based conversation models have the advantages of returning fluent and informative responses. Most existing studies in this area are on open domain ''chit-chat'' conversations or task / transaction oriented conversations. More research is needed for information-seeking conversations. There is also a lack of modeling external knowledge beyond the dialog utterances among current conversational models. In this paper, we propose a learning framework on the top of deep neural matching networks that leverages external knowledge for response ranking in information-seeking conversation systems. We incorporate external knowledge into deep neural models with pseudo-relevance feedback and QA correspondence knowledge distillation. Extensive experiments with three information-seeking conversation data sets including both open benchmarks and commercial data show that, our methods outperform various baseline methods including several deep text matching models and the state-of-the-art method on response selection in multi-turn conversations. We also perform analysis over different response types, model variations and ranking examples. Our models and research findings provide new insights on how to utilize external knowledge with deep neural models for response selection and have implications for the design of the next generation of information-seeking conversation systems.
Year
DOI
Venue
2018
10.1145/3209978.3210011
SIGIR
DocType
Volume
ISBN
Conference
abs/1805.00188
978-1-4503-5657-2
Citations 
PageRank 
References 
22
0.71
43
Authors
8
Name
Order
Citations
PageRank
Liu Yang138018.54
Minghui Qiu259334.84
Chen Qu31097.43
Jiafeng Guo41737102.17
Yongfeng Zhang597661.43
W. Bruce Croft6178122796.94
Jun Huang77711.67
Haiqing Chen85610.50