Using Graph-Based Maximum Independent Sets with Large Language Models for Extractive Text Summarization.

Saved in:
Bibliographic Details
Title: Using Graph-Based Maximum Independent Sets with Large Language Models for Extractive Text Summarization.
Authors: Hark, Cengiz1
Source: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 12, p6395, 28p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186208162
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Using Graph-Based Maximum Independent Sets with Large Language Models for Extractive Text Summarization.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Hark%2C+Cengiz%22">Hark, Cengiz</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jun2025, Vol. 15 Issue 12, p6395, 28p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186208162
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/app15126395
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 28
        StartPage: 6395
    Titles:
      – TitleFull: Using Graph-Based Maximum Independent Sets with Large Language Models for Extractive Text Summarization.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hark, Cengiz
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 20763417
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Applied Sciences (2076-3417)
              Type: main
ResultId 1