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GDELT GKG Reconstruction Tool Shows Variable Agreement with Native Records

By PulseAugur Editorial · [3 sources] ·

Researchers have developed an open-source reconstruction tool, gdelt-regkg, to generate records compatible with the GDELT Project's Global Knowledge Graph (GKG). A field-level analysis comparing reconstructed records with GDELT's native records for over 193,000 English articles revealed varying degrees of agreement. While some fields like GCAM category presence showed high agreement (micro F1 0.84), others such as quotations and complete counts had very low agreement (0.07). The study suggests that reconstructed records should be assessed individually and not treated as fully interchangeable with native GDELT records. AI

IMPACT Provides a tool for researchers to reconstruct and analyze GDELT data, potentially improving NLP tasks that rely on event and entity extraction.

RANK_REASON The cluster contains an academic paper detailing a new open-source tool and its evaluation against existing data.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

GDELT GKG Reconstruction Tool Shows Variable Agreement with Native Records

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COVERAGE [3]

  1. arXiv cs.CL TIER_1 English(EN) · Nikita A. Klimin (HSE University, Moscow, Russia) ·

    Agreement Between Reconstructed and Native GDELT GKG Records: A Field-Level Baseline

    arXiv:2610.35358v1 Announce Type: new Abstract: The Global Knowledge Graph (GKG) of the Global Database of Events, Language, and Tone (GDELT) characterizes news articles using named entities, topics, quantitative and temporal features, quotations, tone, and dictionary-based conte…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Nikita A. Klimin ·

    Agreement Between Reconstructed and Native GDELT GKG Records: A Field-Level Baseline

    The Global Knowledge Graph (GKG) of the Global Database of Events, Language, and Tone (GDELT) characterizes news articles using named entities, topics, quantitative and temporal features, quotations, tone, and dictionary-based content measures. Its codebook defines the record for…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    Agreement Between Reconstructed and Native GDELT GKG Records: A Field-Level Baseline

    The Global Knowledge Graph (GKG) of the Global Database of Events, Language, and Tone (GDELT) characterizes news articles using named entities, topics, quantitative and temporal features, quotations, tone, and dictionary-based content measures. Its codebook defines the record for…

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