SBU Figures It Out: Models Explain Figurative Language
Yash Kumar Lal, Mohaddeseh Bastan · 2022
Figurative language is ubiquitous in human communication.However, current NLP models are unable to demonstrate a significant understanding of instances of this phenomena.FigLang shared task on figurative language understanding posed the problem of predicting and explaining the relation between a premise and a hypothesis containing an instance of the use of figurative language.We experiment with different variations of using T5-large for this task and build a model that significantly outperforms the task baseline.Treating it as a new task for T5 and simply finetuning on the data achieves the best score on the defined evaluation.Furthermore, we find that hypothesis-only models are able to achieve most of the performance.