To Eat and beyond: A FrameNet-Inspired Annotation of Food and Its Uses over Time

Teresa Paccosi, Gauri Bhagwat, Marieke van Erp


Abstract
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.
Anthology ID:
2026.lrec-main.77
Volume:
Proceedings of the Fifteenth Language Resources and Evaluation Conference
Month:
May
Year:
2026
Address:
Palma de Mallorca, Spain
Editors:
Stelios Piperidis, Núria Bel, Henk van den Heuvel, Nancy Ide, Simon Krek, Antonio Toral
Venue:
LREC
SIG:
Publisher:
ELRA Language Resource Association
Note:
Pages:
997–1008
Language:
URL:
https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.77/
DOI:
Bibkey:
Cite (ACL):
Teresa Paccosi, Gauri Bhagwat, and Marieke van Erp. 2026. To Eat and beyond: A FrameNet-Inspired Annotation of Food and Its Uses over Time. International Conference on Language Resources and Evaluation, main:997–1008.
Cite (Informal):
To Eat and beyond: A FrameNet-Inspired Annotation of Food and Its Uses over Time (Paccosi et al., LREC 2026)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.77.pdf