A modified approach for extraction and association of triplets

Title

A modified approach for extraction and association of triplets

Creator

Jaiswal A.; George V.

Description

In this paper we present an enhanced algorithm with modified approach to extricate various Triplets i.e. subject-predicate-object from Natural language sentences. The Treebank Structure and the Typed Dependencies obtained from Stanford Parser are used to elicit multiple triplets from English Sentences. Typed Dependencies represents grammatical connections among the words of any sentence and represents how triplets are associated. The intended interpretation behind the extraction of Triplets is that the subject is acting on the object in a way described by the predicate. In graphical form it can be considered that subject and object will be acting as nodes i.e. entities and predicate as edges i.e. relationship. The resulting triplets and relations can be useful for building and analysis of a social network graph and for generating communication pattern and Information retrieval. 2015 IEEE.

Source

International Conference on Computing, Communication and Automation, ICCCA 2015, pp. 36-40.

Date

2015-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

extraction; information retrieval; parsing; relationship; triplets

Coverage

Jaiswal A., Department of Information Technology, Christ University, Bangalore, India; George V., Department of Computer Science and Engineering, Christ University, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-147998890-7

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/CCAA.2015.7148367

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939477906&doi=10.1109%2fCCAA.2015.7148367&partnerID=40&md5=836fb82756338f7ae0f16b07ec3a055f