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Neural Approaches to Conversational Information Retrieval / by Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell
(The Information Retrieval Series. ISSN:27306836 ; 44)

データ種別	電子ブック
版	1st ed. 2023.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2023
大きさ	XII, 211 p. 75 illus., 61 illus. in color : online resource
著者標目	*Gao, Jianfeng author Xiong, Chenyan author Bennett, Paul author Craswell, Nick author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002492	Computer Scinece R0 2005-6,2022-3				9783031230806

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一般注記	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 models for conversational machine comprehension, which generate a direct answer to a user query based on retrieved query-relevant documents, while Chapter 6 details neural approaches to conversational question answering over knowledge bases, which is fundamental to the knowledge base search module of a CIR system. Chapter 7 elaborates various techniques and models that aim to equip a CIR system with the capability of proactively leading a human-machine conversation. Chapter 8 reviews a variety of commercial systems for CIR and related tasks. It first presents an overview of research platforms and toolkits which enable scientists and practitioners to build conversational experiences, and continues with historical highlights and recent trends in a range of application areas. Chapter 9 eventually concludes the book with a brief discussion of research trends and areas for future work. The primary target audience of the book are the IR and NLP research communities. However, audiences with another background, such as machine learning or human-computer interaction, will also find it an accessible introduction to CIR HTTP:URL=https://doi.org/10.1007/978-3-031-23080-6
件　名	LCSH:Information storage and retrieval systems LCSH:User interfaces (Computer systems) LCSH:Human-computer interaction LCSH:Artificial intelligence FREE:Information Storage and Retrieval FREE:User Interfaces and Human Computer Interaction FREE:Artificial Intelligence
分　類	LCC:QA75.5-76.95 DC23:025.04
書誌ID	EB00001880
ISBN	9783031230806