01191nam 2200421 450 991015035880332120160913090450.01-5026-2137-1(CKB)3710000000942547(MiAaPQ)EBC5734038(EXLCZ)99371000000094254720190404d2017 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPeanuts to peanut butter /B. J. BestFirst edition.New York :Cavendish Square,2017.1 online resource (25 pages) illustrationsBookworms. How It Is Made1-5026-2136-3 Peanut butterJuvenile literaturePeanut industryJuvenile literaturePeanutsJuvenile literaturePeanut butterPeanut industryPeanuts664.8056596Best B. J.1246096MiAaPQMiAaPQMiAaPQBOOK9910150358803321Peanuts to peanut butter2891427UNINA03243 am 2200613 n 450 991049580290332120240104030441.02-7574-2751-22-7574-0511-X10.4000/books.septentrion.67614(CKB)4100000005467228(FrMaCLE)OB-septentrion-67614(PPN)25107093X(EXLCZ)99410000000546722820201123j|||||||| ||| 0freuu||||||m||||Albert Camus au QuotidienAndré Benhaïm, Aymeric GlacetVilleneuve d'AscqPresses universitaires du Septentrion20201 online resource (206 p.) 2-7574-0446-6 Avant-propos /André Benhaïm, Aymeric Glacet --La leçon de Tipasa /Michel Onfray --Camus et ses histoires de concierge /Aymeric Glacet --Les aliments dans l'oeuvre romanesque de Camus /Gerald Prince --Esthétique de l'interruption : Camus entre quotidien et histoire /David R. Ellison --Quand le jeune Camus ouvre les yeux sur le quotidien /Agnès Spiquel --La misère au quotidien : Camus et la Kabylie /Ève Morsi --Écologies de l'appartenance chez Camus /Debarati Sanyal --Entre rhétorique et ontologie : le quotidien dans La chute d'Albert Camus /Nicolas L'Hermitte --Expérience et connaissance du quotidien dans l'oeuvre de Camus /Edward J. Hughes --Poétique de l'insignifiance : les anecdotes d'Albert Camus /André Benhaïm.Invoquant « la révolte au jour le jour », Albert Camus cherchait dans la vie le bonheur dont il avait fait la quête ultime de l’homme. Le présent volume explore dans l’œuvre et l’imaginaire de Camus l’importance du quotidien, l’aura du banal, l’étendue du journalier. On y rappelle que, par l’intermédiaire du petit fait vrai ou du pilotis cher à Stendhal, du fait divers ou de l’objet anodin, le quotidien inspire à l’écrivain sa réponse à la brutalité de l’histoire et à l’absurdité du monde. Ce travail collectif se propose ainsi de porter un regard nouveau sur une œuvre à célébrer au quotidien.ALBERT CAMUS AU QUOTIDIEN Literary Reviewsquotidienbanalécrivainœuvre littérairelittérature françaiseLiterary Reviewsquotidienbanalécrivainœuvre littérairelittérature françaiseIH 24081rvkBenhaïm André734694Ellison David R1031195Glacet Aymeric1239618Hughes Edward J1454446L’Hermitte Nicolas1454447Morisi Ève1454448Onfray Michel472123Prince Gerald142977Sanyal Debarati1283463Spiquel Agnès387018Benhaïm André734694Glacet Aymeric1239618FR-FrMaCLEBOOK9910495802903321Albert Camus au Quotidien3656904UNINA04006nam 22006855 450 991062929960332120251113195012.09783031165528303116552710.1007/978-3-031-16552-8(MiAaPQ)EBC7131894(Au-PeEL)EBL7131894(CKB)25280436100041(PPN)266356230(OCoLC)1493049502(DE-He213)978-3-031-16552-8(EXLCZ)992528043610004120221103d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierQuestion Answering over Text and Knowledge Base /by Saeedeh Momtazi, Zahra Abbasiantaeb1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (208 pages)Computer Science Series9783031165511 3031165519 Includes bibliographical references.This book provides a coherent and complete overview of various Question Answering (QA) systems. It covers three main categories based on the source of the data that can be unstructured text (TextQA), structured knowledge graphs (KBQA), and the combination of both. Developing a QA system usually requires using a combination of various important techniques, including natural language processing, information retrieval and extraction, knowledge graph processing, and machine learning. After a general introduction and an overview of the book in Chapter 1, the history of QA systems and the architecture of different QA approaches are explained in Chapter 2. It starts with early close domain QA systems and reviews different generations of QA up to state-of-the-art hybrid models. Next, Chapter 3 is devoted to explaining the datasets and the metrics used for evaluating TextQA and KBQA. Chapter 4 introduces the neural and deep learning models used in QA systems. This chapter includes the required knowledge of deep learning and neural text representation models for comprehending the QA models over text and QA models over knowledge base explained in Chapters 5 and 6, respectively. In some of the KBQA models the textual data is also used as another source besides the knowledge base; these hybrid models are studied in Chapter 7. In Chapter 8, a detailed explanation of some well-known real applications of the QA systems is provided. Eventually, open issues and future work on QA are discussed in Chapter 9. This book delivers a comprehensive overview on QA over text, QA over knowledge base, and hybrid QA systems which can be used by researchers starting in this field. It will help its readers to follow the state-of-the-art research in the area by providing essential and basic knowledge.Computer Science SeriesInformation storage and retrieval systemsExpert systems (Computer science)Machine learningNatural language processing (Computer science)Information Storage and RetrievalKnowledge Based SystemsMachine LearningNatural Language Processing (NLP)Information storage and retrieval systems.Expert systems (Computer science)Machine learning.Natural language processing (Computer science)Information Storage and Retrieval.Knowledge Based Systems.Machine Learning.Natural Language Processing (NLP).006.3006.3Momtazi Saeedeh1266141Abbasiantaeb ZahraMiAaPQMiAaPQMiAaPQBOOK9910629299603321Question answering over text and knowledge base3059068UNINA