This book looks at conversational search in intelligent dialogue systems, as it investigates and addresses the challenges pertinent to effective context incorporation in conversational question answering (ConvQA).
This book looks at conversational search in intelligent dialogue systems, as it investigates and addresses the challenges pertinent to effective context incorporation in conversational question answering (ConvQA).
Munazza Zaib is currently a Postdoctoral Research Fellow at the Department of Human Centred Computing, Faculty of Information Technology, Monash University, Australia. Quan Z. Sheng is a Distinguished Professor and Head of School of Computing at Macquarie University, Australia. ). He is the recipient of the AMiner Most Influential Scholar Award on IoT (2007-2017), ARC (Australian Research Council) Future Fellowship (2014). Wei Emma Zhang is Associate Head of People and Culture at the School of Computer and Mathematical Sciences, and a researcher at the Australian Institute for Machine Learning, the University of Adelaide. Adnan Mahmood is a Lecturer in Computing - IoT and Networking at the School of Computing, Macquarie University, Sydney.
Inhaltsangabe
1. Introduction 2. Role of Conversational Question Answering in Artificial Intelligence 3. Resolving Conversational Dependencies in Conversational Question Answering 4. Dynamic History Selection for Conversational Question Answering 5. History Modeling for Open-Domain Conversational Question Answering 6. Conclusion and Future Directions
1. Introduction 2. Role of Conversational Question Answering in Artificial Intelligence 3. Resolving Conversational Dependencies in Conversational Question Answering 4. Dynamic History Selection for Conversational Question Answering 5. History Modeling for Open-Domain Conversational Question Answering 6. Conclusion and Future Directions
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