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Identification and Extraction of Hedges for Semantic Search

by Bharti, Pawan Tamta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 58
Year of Publication: 2025
Authors: Bharti, Pawan Tamta
10.5120/ijca2025925979

Bharti, Pawan Tamta . Identification and Extraction of Hedges for Semantic Search. International Journal of Computer Applications. 187, 58 ( Nov 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 },
issue_date = { Nov 2025 },
volume = { 187 },
number = { 58 },
month = { Nov },
year = { 2025 },
issn = { 0975-8887 },
pages = { 22-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number58/identification-and-extraction-of-hedges-for-semantic-search/ },
doi = { 10.5120/ijca2025925979 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-11-18T21:11:20.797653+05:30
%A Bharti
%A Pawan Tamta
%T Identification and Extraction of Hedges for Semantic Search
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 58
%P 22-51
%D 2025
%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

Keywords

Hedges Extraction Trigrams Information retrieval Hedge-Qualifiers Cone-Set

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