CLFeb 21

From Trial by Fire To Sleep Like a Baby: A Lexicon of Anxiety Associations for 20k English Multiword Expressions

arXiv:2602.18692v1
Originality Incremental advance
AI Analysis

This provides a foundational resource for anxiety-related research in psychology, NLP, public health, and social sciences, though it is incremental as it extends existing word-level work to larger text units.

The authors tackled the lack of anxiety-related lexical resources for multiword expressions by creating the first large-scale lexicon of anxiety associations for over 20,000 English MWEs, showing high reliability and enabling analysis of prevalence and compositionality across word sequences.

Anxiety is the unease about a possible future negative outcome. In recent years, there has been growing interest in understanding how anxiety relates to our health, well-being, body, mind, and behaviour. This includes work on lexical resources for word-anxiety association. However, there is very little anxiety-related work on larger units of text such as multiword expressions (MWE). Here, we introduce the first large-scale lexicon capturing descriptive norms of anxiety associations for more than 20k English MWEs. We show that the anxiety associations are highly reliable. We use the lexicon to study prevalence of different types of anxiety- and calmness-associated MWEs; and how that varies across two-, three-, and four-word sequences. We also study the extent to which the anxiety association of MWEs is compositional (due to its constituent words). The lexicon enables a wide variety of anxiety-related research in psychology, NLP, public health, and social sciences. The lexicon is freely available: https://saifmohammad.com/worrylex.html

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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