An idiom is a common phrase that means something other than its literal meaning. Detecting
idioms automatically is a serious challenge in natural language processing (NLP) domain …

Idiomatic expressions are an integral part of natural language and constantly being added to
a language. Owing to their non-compositionality and their ability to take on a figurative or …

Multiword expressions (MWEs) are known as a “pain in the neck” for NLP due to their
idiosyncratic behaviour. While some categories of MWEs have been addressed by many …

Idiom token classification is the task of deciding for a set of potentially idiomatic phrases
whether each occurrence of a phrase is a literal or idiomatic usage of the phrase. In this …

Pre-trained language models are able to capture a broad range of knowledge and language
patterns in text and can be fine-tuned for specific tasks. In this paper, we focus on evaluating …

Idiomatic expression (IE) processing and comprehension have challenged pre-trained
language models (PTLMs) because their meanings are non-compositional. Unlike prior …

Idiomatic expressions (IEs), characterized by their non-compositionality, are an important
part of natural language. They have been a classical challenge to NLP, including pre-trained …

Many idiomatic expressions can be interpreted figuratively or literally depending on their
contexts. This paper proposes an unsupervised learning method for recognizing the …

This article examines the basis of Natural Language Understanding of transformer based
language models, such as BERT. It does this through a case study on idiom token …

The goal of this paper is to learn more about how idiomatic information is structurally
encoded in embeddings, using a structural probing method. We repurpose an existing …