9781032970844 - when nlp meets llm: neural approaches to context-based conversational question answering di zaib, munazza; sheng, quan z.; zhang, wei emma; mahmood, adnan (17 risultati)
When Nlp Meets Llm : Neural Approaches to Context-based Conversational Question Answering
Zaib, Munazza; Sheng, Quan Z.; Zhang, Wei Emma; Mahmood, Adnan
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When Nlp Meets Llm : Neural Approaches to Context-based Conversational Question Answering
Zaib, Munazza; Sheng, Quan Z.; Zhang, Wei Emma; Mahmood, Adnan
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When Nlp Meets Llm : Neural Approaches to Context-based Conversational Question Answering
Zaib, Munazza; Sheng, Quan Z.; Zhang, Wei Emma; Mahmood, Adnan
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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NLP meets LLM: Neural Approaches to Context-based Conversational Question Answering
Zaib, Munazza; Sheng, Quan Z.; Zhang, Wei Emma; Mahmood, Adnan
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
When Nlp Meets Llm : Neural Approaches to Context-based Conversational Question Answering
Zaib, Munazza; Sheng, Quan Z.; Zhang, Wei Emma; Mahmood, Adnan
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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NLP meets LLM: Neural Approaches to Context-based Conversational Question Answering
Zaib, Munazza; Sheng, Quan Z.; Zhang, Wei Emma; Mahmood, Adnan
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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NLP meets LLM: Neural Approaches to Context-based Conversational Question Answering
Zaib, Munazza; Sheng, Quan Z.; Zhang, Wei Emma; Mahmood, Adnan
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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When Nlp Meets Llm: Neural Approaches to Context-based Conversational Question Answering
Zaib, Munazza/ Sheng, Quan Z./ Zhang, Wei Emma/ Mahmood, Adnan
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 102 pages. 8.50x5.44x8.74 inches. In Stock.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Hardcover. Condizione: new. Hardcover. 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). The authors explore the possibility of designing a scalable Conversational Qu…estion Answering Agent that can handle the challenges of incomplete/ambiguous questions, better able to relate to co-references to cope with the problems of effective weights and optimal threshold selection in vehicular networks. A fundamental emphasis is the understanding of ambiguous follow-up questions and the generation of contextual and question entities to fill in the missing information gaps. Key topics are studied, such as hard history selection to filter out the context that is not relevant and performing a re-ranking of the selected turns based on their significance to answer the question as a part of the soft history selection process.This book aims to demonstrate that the history selection and modelling approaches proposed can effectively improve the performance of ConvQA models in different settings. The proposed models are compared with the state-of-the-art vis-a-vis different conversational datasets and provide new insights into conversational information retrieval. Through a systematic study of structured representations, entity-aware history selection, and open-domain passage retrieval using contrastive learning, this book presents a robust framework for advancing multi-turn QA systems.It is an essential resource for researchers, practitioners, and graduate students working at the intersection of NLP, dialogue systems, and intelligent information access. 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 item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 He…ad of School of C.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 107,63
EUR 43,21 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. 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). The authors explore the possibility of designing a scalable Conversational Qu…estion Answering Agent that can handle the challenges of incomplete/ambiguous questions, better able to relate to co-references to cope with the problems of effective weights and optimal threshold selection in vehicular networks. A fundamental emphasis is the understanding of ambiguous follow-up questions and the generation of contextual and question entities to fill in the missing information gaps. Key topics are studied, such as hard history selection to filter out the context that is not relevant and performing a re-ranking of the selected turns based on their significance to answer the question as a part of the soft history selection process.This book aims to demonstrate that the history selection and modelling approaches proposed can effectively improve the performance of ConvQA models in different settings. The proposed models are compared with the state-of-the-art vis-a-vis different conversational datasets and provide new insights into conversational information retrieval. Through a systematic study of structured representations, entity-aware history selection, and open-domain passage retrieval using contrastive learning, this book presents a robust framework for advancing multi-turn QA systems.It is an essential resource for researchers, practitioners, and graduate students working at the intersection of NLP, dialogue systems, and intelligent information access. 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 item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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- Print on Demand
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 126,80
EUR 31,67 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. 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). The authors explore the possibility of designing a scalable Conversational Qu…estion Answering Agent that can handle the challenges of incomplete/ambiguous questions, better able to relate to co-references to cope with the problems of effective weights and optimal threshold selection in vehicular networks. A fundamental emphasis is the understanding of ambiguous follow-up questions and the generation of contextual and question entities to fill in the missing information gaps. Key topics are studied, such as hard history selection to filter out the context that is not relevant and performing a re-ranking of the selected turns based on their significance to answer the question as a part of the soft history selection process.This book aims to demonstrate that the history selection and modelling approaches proposed can effectively improve the performance of ConvQA models in different settings. The proposed models are compared with the state-of-the-art vis-a-vis different conversational datasets and provide new insights into conversational information retrieval. Through a systematic study of structured representations, entity-aware history selection, and open-domain passage retrieval using contrastive learning, this book presents a robust framework for advancing multi-turn QA systems.It is an essential resource for researchers, practitioners, and graduate students working at the intersection of NLP, dialogue systems, and intelligent information access. 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 item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 101,21
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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).
