Сурет сипаттамалары

The final goal of Interpretable Semantic Tex- tual Similarity (iSTS) is to build systems that explain which are the differences and com- monalities between two sentences. The task adds an …...

AbstractWe consider the task of text attribute transfer: transforming a sentence to alter a specific attribute (e.g., sentiment) while preserving its attribute-independent content (e.g., “screen is just the right size” …...

AbstractMultimodal machine learning algorithms aim to learn visual-textual correspondences. Previous work suggests that concepts with concrete visual manifestations may be easier to learn than concepts with abstract ones. We give …...