@inproceedings{wullschleger-etal-2025-foodtaxo,
title = "{F}ood{T}axo: Generating Food Taxonomies with Large Language Models",
author = "Wullschleger, Pascal and
Zarharan, Majid and
Daly, Donnacha and
Pouly, Marc and
Foster, Jennifer",
editor = "Rehm, Georg and
Li, Yunyao",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-industry.55/",
doi = "10.18653/v1/2025.acl-industry.55",
pages = "784--803",
ISBN = "979-8-89176-288-6",
abstract = "We investigate the utility of Large Language Models for automated taxonomy generation and completion specifically applied to taxonomies from the food technology industry. We explore the extent to which taxonomies can be completed from a seed taxonomy or generated without a seed from a set of known concepts, in an iterative fashion using recent prompting techniques.Experiments on five taxonomies using an open-source LLM (Llama-3), while promising, point to the difficulty of correctly placing inner nodes."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="wullschleger-etal-2025-foodtaxo">
<titleInfo>
<title>FoodTaxo: Generating Food Taxonomies with Large Language Models</title>
</titleInfo>
<name type="personal">
<namePart type="given">Pascal</namePart>
<namePart type="family">Wullschleger</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Majid</namePart>
<namePart type="family">Zarharan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Donnacha</namePart>
<namePart type="family">Daly</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Marc</namePart>
<namePart type="family">Pouly</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jennifer</namePart>
<namePart type="family">Foster</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2025-07</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Georg</namePart>
<namePart type="family">Rehm</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yunyao</namePart>
<namePart type="family">Li</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Vienna, Austria</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-288-6</identifier>
</relatedItem>
<abstract>We investigate the utility of Large Language Models for automated taxonomy generation and completion specifically applied to taxonomies from the food technology industry. We explore the extent to which taxonomies can be completed from a seed taxonomy or generated without a seed from a set of known concepts, in an iterative fashion using recent prompting techniques.Experiments on five taxonomies using an open-source LLM (Llama-3), while promising, point to the difficulty of correctly placing inner nodes.</abstract>
<identifier type="citekey">wullschleger-etal-2025-foodtaxo</identifier>
<identifier type="doi">10.18653/v1/2025.acl-industry.55</identifier>
<location>
<url>https://aclanthology.org/2025.acl-industry.55/</url>
</location>
<part>
<date>2025-07</date>
<extent unit="page">
<start>784</start>
<end>803</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T FoodTaxo: Generating Food Taxonomies with Large Language Models
%A Wullschleger, Pascal
%A Zarharan, Majid
%A Daly, Donnacha
%A Pouly, Marc
%A Foster, Jennifer
%Y Rehm, Georg
%Y Li, Yunyao
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-288-6
%F wullschleger-etal-2025-foodtaxo
%X We investigate the utility of Large Language Models for automated taxonomy generation and completion specifically applied to taxonomies from the food technology industry. We explore the extent to which taxonomies can be completed from a seed taxonomy or generated without a seed from a set of known concepts, in an iterative fashion using recent prompting techniques.Experiments on five taxonomies using an open-source LLM (Llama-3), while promising, point to the difficulty of correctly placing inner nodes.
%R 10.18653/v1/2025.acl-industry.55
%U https://aclanthology.org/2025.acl-industry.55/
%U https://doi.org/10.18653/v1/2025.acl-industry.55
%P 784-803
Markdown (Informal)
[FoodTaxo: Generating Food Taxonomies with Large Language Models](https://aclanthology.org/2025.acl-industry.55/) (Wullschleger et al., ACL 2025)
ACL
- Pascal Wullschleger, Majid Zarharan, Donnacha Daly, Marc Pouly, and Jennifer Foster. 2025. FoodTaxo: Generating Food Taxonomies with Large Language Models. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), pages 784–803, Vienna, Austria. Association for Computational Linguistics.