Research Article

Identification and Extraction of Hedges for Semantic Search

by  Bharti, Pawan Tamta
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Issue 58
Published: November 2025
Authors: Bharti, Pawan Tamta
10.5120/ijca2025925979
PDF

Bharti, Pawan Tamta . Identification and Extraction of Hedges for Semantic Search. International Journal of Computer Applications. 187, 58 (November 2025), 22-51. DOI=10.5120/ijca2025925979

                        @article{ 10.5120/ijca2025925979,
                        author  = { Bharti,Pawan Tamta },
                        title   = { Identification and Extraction of Hedges for Semantic Search },
                        journal = { International Journal of Computer Applications },
                        year    = { 2025 },
                        volume  = { 187 },
                        number  = { 58 },
                        pages   = { 22-51 },
                        doi     = { 10.5120/ijca2025925979 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2025
                        %A Bharti
                        %A Pawan Tamta
                        %T Identification and Extraction of Hedges for Semantic Search%T 
                        %J International Journal of Computer Applications
                        %V 187
                        %N 58
                        %P 22-51
                        %R 10.5120/ijca2025925979
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Hedges have been studied as crucial elements of communication. The component of fuzziness associated with them allows researchers to convey propositional content in their utterances. Despite extensive research in literature, little or nothing has been done to identify and extract them. This study aims to extract hedges for information retrieval by first identifying potential hedges. Here, tokens of three from sentences are hypothesized, and Hedge-Qualifiers, acting as potential hedges, are extracted, with the hedges then retrieved from the Hedge Database. This initiation process serves the purpose of information retrieval. The present study is focused on the identification and extraction mechanisms to facilitate a comparative analysis.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Hedges Extraction Trigrams Information retrieval Hedge-Qualifiers Cone-Set

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