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001461733 001__ 1461733
001461733 003__ OCoLC
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001461733 019__ $$a1373608419$$a1373988417
001461733 020__ $$a9783031230806$$q(electronic bk.)
001461733 020__ $$a3031230809$$q(electronic bk.)
001461733 020__ $$z3031230795
001461733 020__ $$z9783031230790
001461733 0247_ $$a10.1007/978-3-031-23080-6$$2doi
001461733 035__ $$aSP(OCoLC)1374065681
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001461733 049__ $$aISEA
001461733 050_4 $$aP98
001461733 08204 $$a006.3/5$$223/eng/20230327
001461733 1001_ $$aGao, Jianfeng,$$eauthor.
001461733 24510 $$aNeural approaches to conversational information retrieval /$$cJianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell.
001461733 264_1 $$aCham, Switzerland :$$bSpringer,$$c2023.
001461733 300__ $$a1 online resource (180 pages) :$$billustrations (black and white, and color).
001461733 336__ $$atext$$btxt$$2rdacontent
001461733 337__ $$acomputer$$bc$$2rdamedia
001461733 338__ $$aonline resource$$bcr$$2rdacarrier
001461733 4901_ $$aThe information retrieval series ;$$vvolume 44
001461733 504__ $$aIncludes bibliographical references.
001461733 5050_ $$aIntro -- Preface -- Book Organization -- Acknowledgments -- Contents -- 1 Introduction -- 1.1 Related Surveys -- 1.2 How People Search -- 1.2.1 Information-Seeking Tasks -- 1.2.2 Information-Seeking Models -- 1.3 CIR as Task-Oriented Dialog -- 1.4 CIR System Architecture -- 1.4.1 CIR Engine Layer -- 1.4.2 User Experience Layer -- 1.4.3 Data Layer -- 1.4.4 An Example: Macaw -- 1.5 Remarks on Building an Intelligent CIR System -- 1.6 Early Works on CIR -- 1.6.1 System-Oriented and User-Oriented IR Research -- 1.6.2 System Architecture -- 1.6.3 Search Result Presentation
001461733 5058_ $$a1.6.4 Relevance Feedback Interactions -- 1.6.5 Exploratory Search -- 2 Evaluating Conversational Information Retrieval -- 2.1 Forms of Evaluation -- 2.2 System-Oriented Evaluation -- 2.2.1 Evaluating Retrieval -- 2.2.2 Evaluating Retrieval in Conversational Context -- 2.2.3 Evaluating Non-retrieval Components -- 2.3 User-Oriented Evaluation -- 2.3.1 Lab Studies -- 2.3.2 Scaling Up Evaluation -- 2.4 Emerging Forms of Evaluation -- 2.4.1 CIR User Simulation -- 2.4.2 Responsible CIR -- 3 Conversational Search -- 3.1 Task -- 3.2 Benchmarks -- 3.2.1 TREC CAsT -- 3.2.2 OR-QuAC
001461733 5058_ $$a3.2.3 Other Related Resources -- 3.3 Pre-trained Language Models -- 3.3.1 BERT: A Bidirectional Transformer PLM -- 3.3.2 The Pre-training and Fine-Tuning Framework -- 3.4 System Architecture -- 3.4.1 Contextual Query Understanding -- 3.4.2 Document Retrieval -- 3.4.3 Document Ranking -- 3.5 Contextual Query Understanding -- 3.5.1 Heuristic Query Expansion Methods -- 3.5.2 Machine Learning-Based Query Expansion Methods -- 3.5.3 Neural Query Rewriting -- 3.5.4 Training Data Generation via Rules and Self-supervised Learning -- 3.6 Sparse Document Retrieval -- 3.7 Dense Document Retrieval
001461733 5058_ $$a3.7.1 The Dual-Encoder Architecture -- 3.7.2 Approximate Nearest Neighbor Search -- 3.7.3 Model Training -- 3.8 Conversational Dense Document Retrieval -- 3.8.1 Few-Shot ConvDR -- 3.9 Document Ranking -- 4 Query-Focused Multi-document Summarization -- 4.1 Task and Datasets -- 4.2 An Overview of Text Summarization Methods -- 4.2.1 Extractive Summarizers -- Sentence Representation -- Sentence Scoring -- Summary Sentence Selection -- 4.2.2 Abstractive Summarizers -- FFLMs -- RNNs -- Transformers -- 4.3 QMDS Methods -- 4.3.1 Extractive Methods -- Sentence Representation -- Sentence Scoring
001461733 506__ $$aAccess limited to authorized users.
001461733 520__ $$aThis 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.
001461733 588__ $$aDescription based on print version record.
001461733 650_0 $$aComputational linguistics.
001461733 650_0 $$aInformation retrieval.
001461733 650_0 $$aHuman-computer interaction.
001461733 655_0 $$aElectronic books.
001461733 7001_ $$aXiong, Chenyan,$$eauthor.
001461733 7001_ $$aBennett, Paul,$$eauthor.
001461733 7001_ $$aCraswell, Nick,$$eauthor.
001461733 77608 $$iPrint version:$$tNEURAL APPROACHES TO CONVERSATIONAL INFORMATION RETRIEVAL.$$d[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2023$$z3031230795$$w(OCoLC)1351463025
001461733 830_0 $$aInformation retrieval series ;$$v44.
001461733 852__ $$bebk
001461733 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-23080-6$$zOnline Access$$91397441.1
001461733 909CO $$ooai:library.usi.edu:1461733$$pGLOBAL_SET
001461733 980__ $$aBIB
001461733 980__ $$aEBOOK
001461733 982__ $$aEbook
001461733 983__ $$aOnline
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