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When NLP meets LLM: Neural Approaches to Context-based Conversational Question Answering - Hardcover

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When NLP meets LLM: Neural Approaches to Context-based Conversational Question Answering - Hardcover
When NLP meets LLM: Neural Approaches to Context-based Conversational Question Answering - Hardcover
When NLP meets LLM: Neural Approaches to Context-based Conversational Question Answering - Hardcover
$118.24/ea
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Product Description

by Munazza Zaib (Author), Quan Z. Sheng (Author), Wei Emma Zhang (Author)

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).

Author Biography

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.

Number of Pages: 102
Dimensions: 0.5 x 8.5 x 5.5 IN
Illustrated: Yes
Publication Date: October 16, 2025
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