Entity Mining Extraction Using Sequential Rules

ICIEMS 2014

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Last edited by CoverBot
May 19, 2020 | History

Entity Mining Extraction Using Sequential Rules

ICIEMS 2014

A comparative sentence expresses an ordering relation between two sets of entities with respect to some common features. For example, the comparative sentence “Canon’s optics are better than those of Sony and Nikon” expresses the comparative relation Comparing one thing with another is a typical part of human decision making process. However, it is not always easy to know what to compare and what are the alternatives. To address this difficulty, we present a new way for automatically extracting comparable entities from comparative questions based on the pattern. We propose new techniques based on these two types of sequential rules to perform the tasks.

Publish Date
Language
English
Pages
487

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Previews available in: English

Edition Availability
Cover of: Entity Mining Extraction Using Sequential Rules
Entity Mining Extraction Using Sequential Rules: ICIEMS 2014
2014, Association of Scientists, Developers and Faculties
Paperback in English

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Book Details


Edition Notes

Published in
India

Contributors

Editor
Kokula Krishna Hari K
Indexer
Shanmugapriyan Thiagarajan
Preface
JBV Subramaniyam
Publisher
ASDF India

The Physical Object

Format
Paperback
Pagination
1
Number of pages
487
Weight
2.2 kilos

ID Numbers

Open Library
OL25447103M
Internet Archive
iciems2014055
ISBN 13
9788192523330

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
May 19, 2020 Edited by CoverBot Added new cover
June 30, 2014 Edited by Shanmuga Priyan iciems2014
June 30, 2014 Created by Shanmuga Priyan Added new book.