Published June 14, 2024 | Version v1
Dataset Open

FLIP-KG: Enriching Automated Knowledge Graph Extraction with Tacit Knowledge. The Case of Lyrical Implicatures within Poems

Authors/Creators

  • 1. ROR icon University of Bologna
  • 2. ROR icon University of Milan
  • 3. ZB MED
  • 4. University Paris Dauphine
  • 5. Hochschule Wismar

Description

FLIP-KG: Enriching Automated Knowledge Graph Extraction with Tacit Knowledge. The Case of Lyrical Implicatures within Poems. Dataset for the task force "Vulcan" from ISWS 2024 led by Aldo Gangemi and Andrea Poltronieri

Files

Poem_1.csv

Files (4.8 kB)

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md5:79b9dbc2067fd6991ce07564beabf412
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md5:f36a68d24918fe7a888b8495a5c1f539
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Additional details

Software

Repository URL
https://github.com/junahmkh/FLIP-KG-ISWS-24
Programming language
Python