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An analysis of language models for metaphor recognition ...
Abstract: We conduct a linguistic analysis of recent metaphor recognition systems. We show that their performance, although reaching high F-scores, has considerable gaps from a linguistic perspective. First, they perform substantially worse on unconventional metaphors than on conventional ones. Second, they struggle with handling rarer word types. Thus, a large part of the systems’ success is due to optimising the disambiguation of conventionalised, metaphoric word senses for specific words instead of modelling general properties of metaphors. As a positive result, the systems show increasing capabilities to recognise metaphoric readings of unseen words if synonyms or morphological variations of these words have been seen before. ...
Keyword: Computer and Information Science; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/6286-an-analysis-of-language-models-for-metaphor-recognition
https://dx.doi.org/10.48448/f6t6-6227
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