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

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
Couverture souple
ISBN 10 : 3659483001 ISBN 13 : 9783659483004
Editeur : LAP LAMBERT Academic Publishing, 2014

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659483001
ISBN 13 
9783659483004
Reliure
Broché
Nombre de pages
160
Coordonnées du fabricant
non disponible
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