Fine Tuned Language Model
method
ID: finetunedlanguagemodel
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AbstractUnderstanding image advertisements is a challenging task, often requiring non-literal interpretation. We argue that standard image-based predictions are insufficient for symbolism prediction. Following the intuition that texts and images are …...
TR at SemEval-2020 Task 4: Exploring the Limits of Language-model-based Common Sense Validation
AbstractIn this paper, we present our submission for subtask A of the Common Sense Validation and Explanation (ComVE) shared task. We examine the ability of large-scale pre-trained language models to …...