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The findings show that recognition performance alone cannot characterize relational structure: food similarity depends on representation, modality, and abstraction level rather than being a fixed property of the food collection.
This work presents a comprehensive pipeline for sub-event information extraction from Hindi-language tweets and news articles, covering eleven key categories such as casualties, infrastructure damage, relief operations and others, and introduces CrisisIE-Hindi, a benchmark dataset spanning cyclone, earthquake, flood an...
This paper provides a practical, auditable, and application-agnostic framework for validating LLM-augmented recipe data, thereby strengthening the foundations of machine-readable food knowledge infrastructures in the era of LLM-generated content.
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