A framework for annotating and modelling intentions behind metaphor use
Abstract: Metaphors are part of everyday language and shape the way in which we conceptualize various domains. Moreover, they play a multifaceted role in communication, making their understanding and generation a challenging task for language models (LMs). While there has been extensive work in the literature linking metaphor to the achievement of individual intentions, no comprehensive taxonomy, suitable for Natural Language Processing (NLP) applications, is available to present day. In this paper, we propose a novel taxonomy of intentions commonly attributed to metaphor, which comprises 9 categories. We also release the first dataset annotated for intentions behind metaphor use.
Finally, we use this dataset to test the capability of large language models (LLMs) in inferring the intentions behind metaphor use, in zero- and in-context few-shot settings.
Our experiments show that this is still a challenge for LLMs.
Paper Type: Long
Research Area: Semantics: Lexical and Sentence-Level
Research Area Keywords: metaphor,lexical resources,corpus creation,communication
Contribution Types: Data resources, Data analysis
Languages Studied: English
Submission Number: 2392
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