Towards the construction of a dataset of art-related synaesthetic metaphors: methods and results

This paper describes a model of synaesthetic metaphor in non-poetic and art-related texts, whose ultimate goal is to suggest sensory alternatives for contents accessed mainly by sight in museums and art galleries. We created and applied a multi-level annotation scheme to create a manually annotated resource of synaesthetic metaphors extracted from museum catalogues and designed a pipeline for the automatic detection and interpretation of synaesthetic metaphors in texts. Finally, we tested a preliminary implementation of this pipeline on real data, shedding light on the relevance and complexity of this phenomenon and the possible improvement areas.