@inproceedings{pitarch-etal-2026-medical,
title = "Medical-{FLAVORS}-{AECC}: {S}panish Oncological Metaphors Dataset",
author = "Pitarch, Lucia and
Bernad, Jordi and
Ojeda Trueba, Sergio LUIS and
S{\'a}nchez-Montero, Alec and
Ionov, Maxim and
Angl{\'e}s-Herrero, Emma and
Corona Beomont, {\'A}ngel {\'O}scar and
Bel-Enguix, Gemma",
editor = "Gupta, Deepak and
Thompson, Paul and
Ananiadou, Sophia and
Demner-Fushman, Dina",
booktitle = "Proceedings of the Third Workshop on Patient-Oriented Language Processing ({CL}4{H}ealth) @ {LREC} 2026",
month = may,
year = "2026",
address = "Palma, Mallorca (Spain)",
publisher = "ELRA Language Resources Association (ELRA)",
url = "https://aclanthology.org/2026.cl4health-1.15/",
doi = "10.63317/5dfcbwok85xr",
pages = "159--170",
abstract = "Metaphors play a central role in cancer narratives, helping patients and practitioners articulate complex experiences and technical concepts. While cancer metaphors in English have been extensively studied, Spanish remains underexplored in this regard, despite its global importance and rich cultural variation. This paper presents a new dataset of Spanish cancer metaphors designed to address these gaps. The resource comprises over 80K annotated words drawn from diverse forum posts, with detailed documentation of lexical units, contextual versus basic meanings, and inter-annotator agreements. To construct the dataset, we adapted the Metaphor Identification Procedure (MIP) for Spanish medical discourse, proposing methodological refinements to challenges such as defining lexical units or domain-specific Basic Meaning labels."
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%0 Conference Proceedings
%T Medical-FLAVORS-AECC: Spanish Oncological Metaphors Dataset
%A Pitarch, Lucia
%A Bernad, Jordi
%A Ojeda Trueba, Sergio LUIS
%A Sánchez-Montero, Alec
%A Ionov, Maxim
%A Anglés-Herrero, Emma
%A Corona Beomont, Ángel Óscar
%A Bel-Enguix, Gemma
%Y Gupta, Deepak
%Y Thompson, Paul
%Y Ananiadou, Sophia
%Y Demner-Fushman, Dina
%S Proceedings of the Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F pitarch-etal-2026-medical
%X Metaphors play a central role in cancer narratives, helping patients and practitioners articulate complex experiences and technical concepts. While cancer metaphors in English have been extensively studied, Spanish remains underexplored in this regard, despite its global importance and rich cultural variation. This paper presents a new dataset of Spanish cancer metaphors designed to address these gaps. The resource comprises over 80K annotated words drawn from diverse forum posts, with detailed documentation of lexical units, contextual versus basic meanings, and inter-annotator agreements. To construct the dataset, we adapted the Metaphor Identification Procedure (MIP) for Spanish medical discourse, proposing methodological refinements to challenges such as defining lexical units or domain-specific Basic Meaning labels.
%R 10.63317/5dfcbwok85xr
%U https://aclanthology.org/2026.cl4health-1.15/
%U https://doi.org/10.63317/5dfcbwok85xr
%P 159-170
Markdown (Informal)
[Medical-FLAVORS-AECC: Spanish Oncological Metaphors Dataset](https://aclanthology.org/2026.cl4health-1.15/) (Pitarch et al., CL4Health 2026)
ACL
- Lucia Pitarch, Jordi Bernad, Sergio LUIS Ojeda Trueba, Alec Sánchez-Montero, Maxim Ionov, Emma Anglés-Herrero, Ángel Óscar Corona Beomont, and Gemma Bel-Enguix. 2026. Medical-FLAVORS-AECC: Spanish Oncological Metaphors Dataset. In Proceedings of the Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026, pages 159–170, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).