NDLI: Grey relational analysis and natural language Processing

Content Provider	IEEE Xplore Digital Library
Author	Khuman, A.S. Yingjie Yang Sifeng Liu
Copyright Year	2015
Description	Author affiliation: Centre for Comput. Intell., De Montfort Univ., Leicester, UK (Khuman, A.S.; Yingjie Yang; Sifeng Liu)
Abstract	This paper investigates validity of using grey relational analysis (GRA) for natural language processing (NLP). The domain of NLP is one associated with inherent vagueness and abstraction, with many sub-domains all invoking their own associated uncertainties. Regardless of the particularisation, the main objective is understanding and making sense of linguistic lexicon. The inferencing and understanding of sentiment from natural language has been investigated thoroughly, however, the use of grey system theory in conjunction with NLP has yet to be explored in any great detail. Ergo, an introductory investigation into the effectiveness of using GRA on and with regards to NLP. This paper describes the feasibility of using grey system methodologies and tools, specifically the use of grey incidence, to provide a means for analysis of a sequence's geometric curve. The use of GRA provides one with the ability to inspect and infer sequences of data. Using this notion and by having a sequence represented as an input stream, it can be correlated against possible output commands. The use of grey incidence for quantifying and evaluating the correlation between what is inputted, against what output it is most similar to, is novel and should provide an additional facet to grey system theory.
Sponsorship	IEEE
Starting Page	107
Ending Page	112
File Size	253853
Page Count	6
File Format	PDF
ISBN	9781479983742
e-ISBN	9781479983759
DOI	10.1109/GSIS.2015.7301838
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-18
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Grey relational analysis natural language processing grey degree of incidence Yttrium Pragmatics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Grey relational analysis and natural language Processing

The optimization grey incidence analysis models

B-Mode Relational Degree Analysis in Thermal Process Modeling

A new grey incidence analysis model for risk assessment of engineering project bidding

A Novel De-noise Method Based on the Grey Relational Analysis

Relationships among transmission line icing and meteorological factors based on the grey relational analysis

The reverse order of grey incidence analysis and two judgment principles

Extension of grey superiority analysis

Potential applications of relational frame theory to natural language systems

Grey relational analysis and natural language Processing

Similar Documents

Grey relational analysis and natural language Processing

The optimization grey incidence analysis models

B-Mode Relational Degree Analysis in Thermal Process Modeling

A new grey incidence analysis model for risk assessment of engineering project bidding

A Novel De-noise Method Based on the Grey Relational Analysis

Relationships among transmission line icing and meteorological factors based on the grey relational analysis

The reverse order of grey incidence analysis and two judgment principles

Extension of grey superiority analysis

Potential applications of relational frame theory to natural language systems

Grey relational analysis and natural language Processing