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A theory guided scaffolding instruction framework for LLM-enabled metaphor reasoning
Metaphor detection is a challenging task in figurative language processing, which aims to
distinguish between metaphorical and literal expressions in text. Existing methods tackle …
distinguish between metaphorical and literal expressions in text. Existing methods tackle …
Metaphor detection via explicit basic meanings modelling
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 …
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 …
multiple heterogeneous information sources. The existing approaches mainly suffer from two …
Train and Constrain: Phonologically Informed Tongue Twister Generation from Topics and Paraphrases
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 …
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
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 …
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 …
and common sense in semantic composition tasks, with their fundamental characteristics …
MMTE: Corpus and metrics for evaluating machine translation quality of metaphorical language
Machine Translation (MT) has developed rapidly since the release of Large Language
Models and current MT evaluation is performed through comparison with reference human …
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 …
average in our daily conversations. Previous metaphor identification researches in NLP …
Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation
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 …
Thus, it is crucial for Language Models to be able to grasp the underlying meaning of this …
Construction artifacts in metaphor identification datasets
Metaphor identification aims at understanding whether a given expression is used
figuratively in context. However, in this paper we show how existing metaphor identification …
figuratively in context. However, in this paper we show how existing metaphor identification …