Metaphor is a special linguistic phenomenon, challenging diverse natural language
processing tasks. Previous works focused on either metaphor identification or domain …

Automated metaphor detection is a challenging task to identify metaphorical expressions of
words in a sentence. To tackle this problem, we adopt pre-trained contextualized models …

Metaphor is not only a linguistic phenomenon but also reflects the concept projection
between source and target domains in human cognition. Previous sequence tagging-based …

Metaphoric expressions are widespread in natural language, posing a significant challenge
for various natural language processing tasks such as Machine Translation. Current word …

We present end-to-end neural models for detecting metaphorical word use in context. We
show that relatively standard BiLSTM models which operate on complete sentences work …

Metaphors are an integral and important part of human communication and greatly impact
the way our thinking is formed and how we understand the world. The theory of the …

Metaphors are figurative expressions frequently appearing daily. Given its significance in
downstream natural language processing tasks such as machine translation and sentiment …

End-to-end training with Deep Neural Networks (DNN) is a currently popular method for
metaphor identification. However, standard sequence tagging models do not explicitly take …

There has been an increased interest in modelling political discourse within the natural
language processing (NLP) community, in tasks such as political bias and misinformation …

Metaphors allow us to convey emotion by connecting physical experiences and abstract
concepts. The results of previous research in linguistics and psychology suggest that …