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Relation Extraction from Web Texts with Linguistic and Web Features: A Study on Supervised, Semi-supervised and Unsupervised Relation Extraction - Softcover
Synopsis
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.
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About the Author
Yulan 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 research interests are Knowledge Discovery, Information Extraction (or Multilingual Information Extraction), Machine Learning and Natural Language Processing.
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Relation Extraction from Web Texts with Linguistic and Web Features
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LAP LAMBERT Academic Publishing Jan 2014, 2014
ISBN 10: 3659483001
ISBN 13: 9783659483004
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Taschenbuch. Condition: 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 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. 160 pp. Englisch. Seller Inventory # 9783659483004
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Relation Extraction from Web Texts with Linguistic and Web Features
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Condition: 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 research interests are Knowledge Dis. Seller Inventory # 5158918
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Relation Extraction from Web Texts with Linguistic and Web Features
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Relation Extraction from Web Texts with Linguistic and Web Features
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Relation Extraction from Web Texts with Linguistic and Web Features
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Relation Extraction from Web Texts with Linguistic and Web Features | A Study on Supervised, Semi-supervised and Unsupervised Relation Extraction
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Taschenbuch. Condition: 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: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 105497556
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Relation Extraction from Web Texts with Linguistic and Web Features
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LAP LAMBERT Academic Publishing Jan 2014, 2014
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ISBN 13: 9783659483004
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Taschenbuch. Condition: 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. Seller Inventory # 9783659483004
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Relation Extraction from Web Texts with Linguistic and Web Features : A Study on Supervised, Semi-supervised and Unsupervised Relation Extraction
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659483001
ISBN 13: 9783659483004
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Taschenbuch. Condition: 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 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. Seller Inventory # 9783659483004
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Relation Extraction from Web Texts with Linguistic and Web Features: A Study on Supervised, Semi-supervised and Unsupervised Relation Extraction
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LAP LAMBERT Academic Publishing, 2014
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ISBN 13: 9783659483004
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