---
title: "RiCoRecA: rich cooking recipe annotation schema"
url: https://daily.dev/posts/ricoreca-rich-cooking-recipe-annotation-schema-l99feejjk
source_url: https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1550604/full
type: article
source: "Explosion"
published: 2026-01-14T09:29:10.772Z
updated: 2026-01-14T09:29:43.392Z
tags: ["machine-learning", "nlp", "iot", "transformers"]
reading_time: 65
upvotes: 0
comments: 0
language: en
---

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# RiCoRecA: rich cooking recipe annotation schema

**[Explosion](https://daily.dev/sources/explosionai)** · 65 min read · 0 upvotes · 0 comments

## Summary

RiCoRecA is a novel annotation schema for parsing cooking recipes into workflow representations suitable for IoT automation. The schema combines named entity recognition, relation classification, and coreference resolution into a single joint model. A dataset of 156 annotated recipes was created, and experiments comparing PEGASUS-X and LongT5 transformer models showed PEGASUS-X outperformed LongT5 by 39% in F-Score across all tasks, achieving near-human performance. The approach differs from previous work by handling conditional statements for sensor-based actions and learning multiple information extraction tasks jointly rather than through pipelines.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1550604/full>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#nlp](https://daily.dev/tags/nlp), [#iot](https://daily.dev/tags/iot), [#transformers](https://daily.dev/tags/transformers)

[View this post on daily.dev](https://daily.dev/posts/ricoreca-rich-cooking-recipe-annotation-schema-l99feejjk)