We present an annotation scheme and a manually annotated dataset in English, grounded in Frame Semantics and its generative extension through qualia relations, developed specifically for the food domain. Our primary goal is to capture the diverse and often less frequent uses of food in historical English texts, with a particular focus on the various processes to which food is subjected and the contexts in which it is employed. We provide the annotation scheme, describe the annotation process and release the annotated dataset for food and its uses, along with some preliminary experiments assessing the capabilities of LLMs in applying this annotation scheme.

Culinary trends evolve in response to social, economic, and cultural influences, reflecting broader historical transformations. We present an exploration into Dutch culinary trends from 1910 to 1995 by analysing recipes from housekeeping school cookbooks and newspaper recipe collections. Using computational techniques, we extract and examine ingredient frequency, recipe complexity, and shifts in recipe categories to identify trends in Dutch cuisine from a quantitative point of view. Additionally, we experimented with Large Language Models (LLMs) to structure and extract recipes’ features, demonstrating their potential for historical recipe parsing.