A theory guided scaffolding instruction framework for LLM-enabled metaphor reasoning

Y Tian, N Xu, W Mao - Proceedings of the 2024 Conference of the …, 2024 - aclanthology.org
Metaphor detection is a challenging task in figurative language processing, which aims to
distinguish between metaphorical and literal expressions in text. Existing methods tackle …

Metaphor detection via explicit basic meanings modelling

Y Li, S Wang, C Lin, G Frank - arxiv preprint arxiv:2305.17268, 2023 - arxiv.org
One noticeable trend in metaphor detection is the embrace of linguistic theories such as the
metaphor identification procedure (MIP) for model architecture design. While MIP clearly …

VIEMF: Multimodal metaphor detection via visual information enhancement with multimodal fusion

X He, L Yu, S Tian, Q Yang, J Long, B Wang - Information Processing & …, 2024 - Elsevier
In this paper, we study multimodal metaphor detection to obtain real semantic meaning from
multiple heterogeneous information sources. The existing approaches mainly suffer from two …

Train and Constrain: Phonologically Informed Tongue Twister Generation from Topics and Paraphrases

T Loakman, C Tang, C Lin - Computational Linguistics, 2024 - direct.mit.edu
Previous work in phonologically and phonetically grounded language generation has
mainly focused on domains such as puns and poetry. In this article, we present new work on …

Finding challenging metaphors that confuse pretrained language models

Y Li, F Guerin, C Lin - arxiv preprint arxiv:2401.16012, 2024 - arxiv.org
Metaphors are considered to pose challenges for a wide spectrum of NLP tasks. This gives
rise to the area of computational metaphor processing. However, it remains unclear what …

SC-Net: Multimodal metaphor detection using semantic conflicts

X He, L Yu, S Tian, Q Yang, J Long - Neurocomputing, 2024 - Elsevier
The phenomenon of metaphors is often regarded as a departure from semantic selection
and common sense in semantic composition tasks, with their fundamental characteristics …

MMTE: Corpus and metrics for evaluating machine translation quality of metaphorical language

S Wang, G Zhang, H Wu, T Loakman, W Huang… - arxiv preprint arxiv …, 2024 - arxiv.org
Machine Translation (MT) has developed rapidly since the release of Large Language
Models and current MT evaluation is performed through comparison with reference human …

CKEMI: Concept knowledge enhanced metaphor identification framework

D Wang, Y Li, S Wang, X Chen, J Liao, D Li… - Information Processing & …, 2025 - Elsevier
Metaphor is pervasive in our life, there is roughly one metaphor every three sentences on
average in our daily conversations. Previous metaphor identification researches in NLP …

Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation

E Sanchez-Bayona, R Agerri - arxiv preprint arxiv:2404.07053, 2024 - arxiv.org
Metaphors, although occasionally unperceived, are ubiquitous in our everyday language.
Thus, it is crucial for Language Models to be able to grasp the underlying meaning of this …

Construction artifacts in metaphor identification datasets

J Boisson, L Espinosa-Anke… - arxiv preprint arxiv …, 2023 - arxiv.org
Metaphor identification aims at understanding whether a given expression is used
figuratively in context. However, in this paper we show how existing metaphor identification …