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Towards automatic conceptual metaphor detection for psychological tasks

Published: 01 March 2023 Publication History

Abstract

Conceptual metaphor detection is a well-researched topic in Natural Language Processing. At the same time, conceptual metaphor use analysis produces unique insight into individual psychological processes and characteristics, as demonstrated by research in cognitive psychology. Despite the fact that state-of-the-art language models allow for highly effective automatic detection of conceptual metaphor in benchmark datasets, the models have never been applied to psychological tasks. The benchmark datasets differ a lot from experimental texts recorded or produced in a psychological setting, in their domain, genre, and the scope of metaphoric expressions covered.
We present the first experiment to apply NLP metaphor detection methods to a psychological task, specifically, analyzing individual differences. For that, we annotate MetPersonality, a dataset of Russian texts written in a psychological experiment setting, with conceptual metaphor. With a widely used conceptual metaphor annotation procedure, we obtain low annotation quality, which arises from the dataset characteristics uncommon in typical automatic metaphor detection tasks. We suggest a novel conceptual metaphor annotation procedure to mitigate issues in annotation quality, increasing the inter-annotator agreement to a moderately high level. We leverage the annotated dataset and existing metaphor datasets in Russian to select, train and evaluate state-of-the-art metaphor detection models, obtaining acceptable results in the metaphor detection task. In turn, the most effective model is used to detect conceptual metaphor automatically in RusPersonality, a larger dataset containing meta-information on psychological traits of the participant authors. Finally, we analyze correlations of automatically detected metaphor use with psychological traits encoded in the Freiburg Personality Inventory (FPI).
Our pioneering work on automatically-detected metaphor use and individual differences demonstrates the possibility of unprecedented large-scale research on the relation between of metaphor use and personality traits and dispositions, cognitive and emotional processing.

Highlights

To date, research on conceptual metaphor use in psychology has relied on manual methods.
Datasets involving conceptual metaphor differ between NLP and psychology research.
For the first time, NLP models are effectively applied to analyzing metaphor use and individual differences.
Metaphor use detected automatically and manually is consistent in terms of personality trait correlations.
Combining metaphor use evidence between NLP and psychology will enrich both fields.

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          cover image Information Processing and Management: an International Journal
          Information Processing and Management: an International Journal  Volume 60, Issue 2
          Mar 2023
          1443 pages

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          Pergamon Press, Inc.

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          Publication History

          Published: 01 March 2023

          Author Tags

          1. Metaphor detection
          2. Conceptual metaphor
          3. Individual differences

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