Relation Extraction from Web Texts with Linguistic and Web Features: A Study on Supervised, Semi-supervised and Unsupervised Relation Extraction - Softcover

Yan, Yulan; Matsuo, Yutaka; Ishizuka, Mitsuru

 
9783659483004: Relation Extraction from Web Texts with Linguistic and Web Features: A Study on Supervised, Semi-supervised and Unsupervised Relation Extraction
Softcover
ISBN 10: 3659483001 ISBN 13: 9783659483004
Verlag: LAP LAMBERT Academic Publishing, 2014

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2014
Sprache
Englisch
ISBN 10 
3659483001
ISBN 13 
9783659483004
Einband
Taschenbuch
Anzahl der Seiten
160
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Editions Muse
customerservice@vdm-vsg.de

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Riga
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