Multiword expressions (MWEs) are composed of multiple words and exhibit variable
degrees of compositionality. As such, their meanings are notoriously difficult to model, and it …

Non-compositional expressions, by virtue of their non-compositionality, are a classic 'pain in
the neck'for NLP systems. Different from the general language modeling and generation …

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

Idiomatic expressions are an integral part of human languages, often used to express
complex ideas in compressed or conventional ways (eg eager beaver as a keen and …

Accurate processing of non-compositional language relies on generating good
representations for such expressions. In this work, we study the representation of language …

Abstract Reasoning in the presence of idiomatic expressions (IEs) remains a challenging
frontier in natural language understanding (NLU). Unlike standard text, the non …

Accurately modeling idiomatic or non-compositional language has been a longstanding
challenge in Natural Language Processing (NLP). This is partly because these expressions …

We propose an unsupervised approach to paraphrasing multiword expressions (MWEs) in
context. Our model employs only monolingual corpus data and pre-trained language models …

Slang is a common type of language that makes creative and highly flexible use of words. A
basic problem that language users tackle is how to develop and interpret novel slang terms …