Nakov Preslav (51 results)
Semantic Relations Between Nominals (Synthesis Lectures on Human Language Technologies)
Nastase, Vivi,Nakov, Preslav,Ã" SÃ aghdha, Diarmuid,Szpakowicz, Stan
- Softcover
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Semantic Relations Between Nominals (Synthesis Lectures on Human Language Technologies)
Preslav Nakov,Vivi Nastase,Stan Szpakowicz,Diarmuid Ã" SÃ agdha
- Hardcover
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
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Condition: Like New. LIGHTNING FAST SHIPPING! Like New Hardcover. Very minor cover scuffing. Ships Fast.
Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
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Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
- First Edition
Seller: Prior Books Ltd, Cheltenham, United KingdomPrior Books Ltd
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Hardcover. Condition: Like New. First Edition. A nearly new hardback with no defects, just a few hardly noticeable rubs and bumps and a 'damaged' stamp to one of the preliminary pages. Despite such this book looks and feels unread with contents that are crisp, fresh and tight. Thus a very nice book in great condition, now offere…d for sale at a reasonable price.
Similar Languages, Varieties, and Dialects: A Computational
Marcos Zampieri (Rochester Institute of Technology, New York)
Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
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Hardback. Marcos Zampieri (Rochester Institute of Technology, New York), Cambridge University Press. Language resources and computational models are becoming increasingly important for the study of language variation. A main challenge of this interdisciplinary field is that linguistics researchers may not be familiar with these…helpful computational tools and many NLP researchers are often not familiar with language variation phenomena. This essential reference introduces researchers to the necessary computational models for processing similar languages, varieties, and dialects. In this book, leading experts tackle the inherent challenges of the field by balancing a thorough discussion of the theoretical background with a meaningful overview of state-of-the-art language technology. The book can be used in a graduate course, or as a supplementary text for courses on language variation, dialectology, and sociolinguistics or on computational linguistics and NLP. Part 1 covers the linguistic fundamentals of the field such as the question of status and language variation. Part 2 discusses data collection and pre-processing methods. Finally, Part 3 presents NLP applications such as speech processing, machine translation, and language-specific issues in Arabic and Chinese. Hardback.
Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
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Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
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Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
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Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
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Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
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Semantic Relations Between Nominals, Second Edition (Synthesis Lectures on Human Language Technologies)
Nastase, Vivi; Szpakowicz, Stan; Nakov, Preslav; Séagdha, Diarmuid Ó
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In English.
Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
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Condition: New.
Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Semantic Relations Between Nominals, Second Edition (Synthesis Lectures on Human Language Technologies)
Nastase, Vivi; Szpakowicz, Stan; Nakov, Preslav; Séagdha, Diarmuid Ó
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. 2nd edition NO-PA16APR2015-KAP.
Semantic Relations Between Nominals, Second Edition
Vivi Nastase, Stan Szpakowicz, Preslav Nakov, Diarmuid Ó Séagdha
Language: English
Published by Springer International Publishing AG, CH, 2021
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. 2nd. Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, rocks are located on Mars. Two mental operations contribute to…understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora-to be analyzed, or used to gather relational evidence-have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.
Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: New.
Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New. 2021. hardcover. . . . . .
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, rocks are loc…ated on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora-to be analyzed, or used to gather relational evidence-have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.
Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
- Softcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. The Asia Information Retrieval Societies Conference (AIRS) 2010 was the sixth conference in the AIRS series,aiming to bring together international researchers and developers to exchange new ideas and the latest results in information - trieval. The scope of the conference encompassed the the…ory and practice of all aspects of information retrieval in text, audio, image, video, and multimedia data. AIRS 2010 continued the conference series that grew from the Information Retrieval with Asian Languages (IRAL) workshop series, started in 1996. It has become a mature venue for information retrieval work, ?nding support from the ACM Special Interest Group on Information Retrieval (SIGIR); the Association for Computational Linguistics and Chinese Language Processing (ACLCLP); ROCLING; and the Information Processing Society of Japan, Special Interest GrouponInformationFundamentals andAccess Technologies(IPSJSIG-IFAT). This year saw a sharp rise in the number of submissions over the previous year. A total of 120 papers were submitted, representing work by academics and practitioners not only from Asia, but also from Australia, Europe, North America, etc. The high quality of the work made it di?cult for the dedicated programcommitteetodecidewhichpaperstofeatureattheconference.Through adouble-blindreviewingprocess,26submissions(21%)wereacceptedasfulloral papers and 31 (25%) were accepted as short posters. The success of this conferencewas only possible with the support of allof the authorswho submitted papers for review, the programcommittee members who constructively assessedthe submissions, and the registered conference delegates. We thank them for their support of this conference, and for their long-term support of this Asian-centric venue for IR research and development. The Asia Information Retrieval Societies Conference (AIRS) 2010 was the sixth conference in the AIRS series,aiming to bring together international researchers and developers to exchange new ideas and the latest results in information - trieval. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Cambridge University Press, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
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Condition: New. 2021. hardcover. . . . . . Books ship from the US and Ireland.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In.
Language: English
Published by Cambridge Univ Pr, 2021
Series: Book 36 of 38 - Studies in Natural Language Processing
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 326 pages. 9.25x6.25x1.00 inches. In Stock.
- Softcover
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
- Softcover
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
- Softcover
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Paperback. Condition: Brand New. 1st edition. 640 pages. 9.41x6.26x0.98 inches. In Stock.
Semantic Relations Between Nominals, Second Edition
Vivi Nastase, Stan Szpakowicz, Preslav Nakov, Diarmuid Ó Séagdha
Language: English
Published by Springer International Publishing AG, CH, 2021
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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£ 86.16
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Paperback. Condition: New. 2nd. Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, rocks are located on Mars. Two mental operations contribute to…understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora-to be analyzed, or used to gather relational evidence-have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.
