MetaPro: A computational metaphor processing model for text pre-processing

R Mao, X Li, M Ge, E Cambria - Information Fusion, 2022 - Elsevier
Metaphor is a special linguistic phenomenon, challenging diverse natural language
processing tasks. Previous works focused on either metaphor identification or domain …

A survey on pragmatic processing techniques

R Mao, M Ge, S Han, W Li, K He, L Zhu, E Cambria - Information Fusion, 2025 - Elsevier
Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

A comprehensive overview of cfn from a commonsense perspective

R Li, Y Zhao, Z Wang, X Su, S Guo, Y Guan… - Machine Intelligence …, 2024 - Springer
Chinese FrameNet (CFN) is a scenario commonsense knowledge base (CKB) that plays an
important role in research on Chinese language understanding. It is based on the theory of …

A survey on computational metaphor processing techniques: From identification, interpretation, generation to application

M Ge, R Mao, E Cambria - Artificial Intelligence Review, 2023 - Springer
Metaphors are figurative expressions frequently appearing daily. Given its significance in
downstream natural language processing tasks such as machine translation and sentiment …

Decoding word embeddings with brain-based semantic features

E Chersoni, E Santus, CR Huang, A Lenci - Computational Linguistics, 2021 - arpi.unipi.it
Word embeddings are vectorial semantic representations built with either counting or
predicting techniques aimed at capturing shades of meaning from word co-occurrences …

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 …

Verb metaphor detection via contextual relation learning

W Song, S Zhou, R Fu, T Liu, L Liu - … of the 59th Annual Meeting of …, 2021 - aclanthology.org
Correct natural language understanding requires computers to distinguish the literal and
metaphorical senses of a word. Recent neu-ral models achieve progress on verb metaphor …

Perceptional and actional enrichment for metaphor detection with sensorimotor norms

M Wan, Q Su, K Ahrens, CR Huang - Natural Language Engineering, 2024 - cambridge.org
Understanding the nature of meaning and its extensions (with metaphor as one typical kind)
has been one core issue in figurative language study since Aristotle's time. This research …

CATE: A contrastive pre-trained model for metaphor detection with semi-supervised learning

Z Lin, Q Ma, J Yan, J Chen - … of the 2021 conference on empirical …, 2021 - aclanthology.org
Metaphors are ubiquitous in natural language, and detecting them requires contextual
reasoning about whether a semantic incongruence actually exists. Most existing work …

Leveraging contextual embeddings and idiom principle for detecting idiomaticity in potentially idiomatic expressions

R Hashempour, A Villavicencio - … of the Workshop on the Cognitive …, 2020 - aclanthology.org
The majority of studies on detecting idiomatic expressions have focused on discovering
potentially idiomatic expressions overlooking the context. However, many idioms like blow …