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

Language: English

Published by LAP LAMBERT Academic Publishing, 2014

3659483001 / 9783659483004

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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

Title
Relation Extraction from Web Texts with Linguistic and Web Features : A Study on Supervised, Semi-supervised and Unsupervised Relation Extraction
Author
Yulan Yan
Publisher
LAP LAMBERT Academic Publishing
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659483001
ISBN 13
9783659483004
Item weight
256 grams
Dimensions
220x150x11 mm

AHA-BUCH GmbH

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