Yulan yan (9 risultati)
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG 2014
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Da: Books Puddle, New York, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 111,18
EUR 3,44 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New. pp. 160.
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Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,95
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Relation Extraction from Web Texts with Linguistic and Web Features | A Study on Supervised, Semi-supervised and Unsupervised Relation Extraction | Yulan Yan (u. a.) | Taschenbuch | 160 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659483004 | Verantwortliche Person für die EU: Bo…D - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Da: Mispah books, Redhill, Regno UnitoMispah books
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Come nuovo
EUR 162,19
EUR 28,95 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 71,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the explosion of available textual data on the Web, the importance of mapping textual contents into structured representation through automatically harvesting semantic relations from unstructured text has been recognized. In t…his book, we systematically study two types of relation extraction: relation extraction for linguistic parsing and that for semantic repository construction. For the first type, we investigate the identification of elements from each sentence and their arrangements in a structured format. For the second type, we focus on the extraction of relations between named entities from a local corpus (Wikipedia) while making use of the huge Web corpus. The book demonstrates an interesting view of using respective characteristics of Wikipedia articles and Web corpus, that is to integrate 'deep' linguistic analysis on Wikipedia text with redundancy information on the Web. This book can be used as an introductory reading material for students who are interested in Deep Linguistic Processing or Semantic Relation Extraction. It should also be useful as a reference for practitioners in Relational Knowledge Acquisition. 160 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 58,12
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yan YulanYulan Yan received her PhD degree from the University of Tokyo, Japan in 2010. She is currently a researcher at National Institute of Information and Communications Technology, Japan. Her rese…arch interests are Knowledge Dis.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG 2014
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 112,54
EUR 7,53 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand pp. 160 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG 2014
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- Print on Demand
Da: Biblios, frankfurt am main, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 114,20
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND pp. 160.
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- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 71,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the explosion of available textual data on the Web, the importance of mapping textual contents into structured representation through automatically harvesting semantic relations from unstructured text has been recognized. In this…book, we systematically study two types of relation extraction: relation extraction for linguistic parsing and that for semantic repository construction. For the first type, we investigate the identification of elements from each sentence and their arrangements in a structured format. For the second type, we focus on the extraction of relations between named entities from a local corpus (Wikipedia) while making use of the huge Web corpus. The book demonstrates an interesting view of using respective characteristics of Wikipedia articles and Web corpus, that is to integrate 'deep' linguistic analysis on Wikipedia text with redundancy information on the Web. This book can be used as an introductory reading material for students who are interested in Deep Linguistic Processing or Semantic Relation Extraction. It should also be useful as a reference for practitioners in Relational Knowledge Acquisition.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 71,90
EUR 61,28 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the explosion of available textual data on the Web, the importance of mapping textual contents into structured representation through automatically harvesting semantic relations from unstructured text has been recognized. In this b…ook, we systematically study two types of relation extraction: relation extraction for linguistic parsing and that for semantic repository construction. For the first type, we investigate the identification of elements from each sentence and their arrangements in a structured format. For the second type, we focus on the extraction of relations between named entities from a local corpus (Wikipedia) while making use of the huge Web corpus. The book demonstrates an interesting view of using respective characteristics of Wikipedia articles and Web corpus, that is to integrate 'deep' linguistic analysis on Wikipedia text with redundancy information on the Web. This book can be used as an introductory reading material for students who are interested in Deep Linguistic Processing or Semantic Relation Extraction. It should also be useful as a reference for practitioners in Relational Knowledge Acquisition.
