@inproceedings{eichel-etal-2026-contextualising,
title = "Contextualising (Im)plausible Events Triggers Figurative Language",
author = "Eichel, Annerose and
Rakshit, Tonmoy and
Schulte im Walde, Sabine",
editor = "Egg, Markus and
Kordoni, Valia",
booktitle = "Proceedings of Learning Non-Literal Expressions with Small Data @ {LREC} 2026",
month = may,
year = "2026",
address = "Palma, Mallorca (Spain)",
publisher = "ELRA Language Resources Association (ELRA)",
url = "https://aclanthology.org/2026.nonliteral-1.9/",
doi = "10.63317/2pkwrv8nzft9",
pages = "93--105",
abstract = "This work explores the connection between (non-)literalness and plausibility at the example of subject-verb-object events in English. We design a systematic setup of plausible and implausible event triples in combination with abstract and concrete constituent categories. Our analysis of human and LLM-generated judgments and example contexts reveals substantial differences between assessments of plausibility. While humans excel at nuanced detection and contextualization of (non-)literal vs. implausible events, LLM results reveal only shallow contextualization patterns with a bias to trade implausibility for non-literal, plausible interpretations."
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%0 Conference Proceedings
%T Contextualising (Im)plausible Events Triggers Figurative Language
%A Eichel, Annerose
%A Rakshit, Tonmoy
%A Schulte im Walde, Sabine
%Y Egg, Markus
%Y Kordoni, Valia
%S Proceedings of Learning Non-Literal Expressions with Small Data @ LREC 2026
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F eichel-etal-2026-contextualising
%X This work explores the connection between (non-)literalness and plausibility at the example of subject-verb-object events in English. We design a systematic setup of plausible and implausible event triples in combination with abstract and concrete constituent categories. Our analysis of human and LLM-generated judgments and example contexts reveals substantial differences between assessments of plausibility. While humans excel at nuanced detection and contextualization of (non-)literal vs. implausible events, LLM results reveal only shallow contextualization patterns with a bias to trade implausibility for non-literal, plausible interpretations.
%R 10.63317/2pkwrv8nzft9
%U https://aclanthology.org/2026.nonliteral-1.9/
%U https://doi.org/10.63317/2pkwrv8nzft9
%P 93-105
Markdown (Informal)
[Contextualising (Im)plausible Events Triggers Figurative Language](https://aclanthology.org/2026.nonliteral-1.9/) (Eichel et al., NonLiteral 2026)
ACL