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Neural Approaches to Conversational Information Retrieval by Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell is a nonfiction available to read on EtoBox.

What is Neural Approaches to Conversational Information Retrieval about?

This book surveys recent advances in Conversational Information Retrieval (CIR), focusing on neural approaches that have been developed in the last few years. Progress in deep learning has brought tremendous improvements in natural language processing (NLP) and conversational AI, leading to a plethora of commercial conversational services that allow naturally spoken and typed interaction, increasing the need for more human-centric interactions in IR. The book contains nine chapters. Chapter 1 motivates the research of CIR by reviewing the studies on how people search and subsequently defines a CIR system and a reference architecture which is described in detail in the rest of the book. Chapter 2 provides a detailed discussion of techniques for evaluating a CIR system – a goal-oriented conversational AI system with a human in the loop. Then Chapters 3 to 7 describe the algorithms and methods for developing the main CIR modules (or sub-systems). In Chapter 3, conversational document search is discussed, which can be viewed as a sub-system of the CIR system. Chapter 4 is about algorithms and methods for query-focused multi-document summarization. Chapter 5 describes various neural mod

Who reads Neural Approaches to Conversational Information Retrieval?

Author

Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell

Publisher

Springer International Publishing AG

Published

2023

Language

EN

ISBN

9783031230806

Category

nonfiction

Subjects

Computer Science, Mathematics, Stem