ShiZhengyan/IngredientParsing
Dataset and pytorch codes for the paper titled "Attention-based Ingredient Phrase Parser". ESANN 2022.
This project helps conversational AI systems understand cooking instructions by precisely identifying ingredients and their attributes like name, unit, and quantity from natural language. It takes free-form ingredient phrases as input and outputs structured ingredient details. This is useful for developers building virtual personal assistants or smart kitchen apps.
No commits in the last 6 months.
Use this if you are developing a conversational AI system that needs to accurately parse ingredient lists for cooking tasks.
Not ideal if you need a pre-built, ready-to-deploy API for ingredient parsing without any development work.
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Language
Python
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Last pushed
Dec 17, 2023
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