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Karaka-Grounded Visual Semantic Role Labeling for a Case-Marking Language: Code and Data

Domaine:

natural language processing

Type de record:

dataset
Créateur:
Jee
Éditeur:
Zenodo
Hôte:avatar
Code, the Karaka-VG resource (2,937 silver-labeled, image-grounded Hindi karaka role frames), and result files supporting the paper "Karaka-Grounded Visual Semantic Role Labeling for a Case-Marking Language," submitted to Language Resources and Evaluation. Includes the Part I Hindi karaka tagger, the Part II corpus-scale extraction and round-trip consistency filter that builds Karaka-VG, the POS-tagging audit, the Part IV classical- and CNN-feature pixels-only visual classifiers, and the GSR-translation baseline built on a real GSRTR checkpoint. Hindi Visual Genome, the underlying corpus and image archive, is not redistributed here; see the README for how the release keys back to it. Keywords: add each of these as a separate tag: semantic role labeling, karaka theory, Hindi, low-resource language processing, visual grounding, grounded situation recognition, Panini, computational linguistics

Visit

doi.org

Tasks

semantic role labelling

Tags

semantic role labelingkaraka theoryHindilow-resource language processingvisual groundinggrounded situation recognitionPaninicomputational linguistics

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode2026 Jeevakala Siva Ramakrishnahttp://rightsstatements.org/vocab/InC/1.0/

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