描绘
计算机科学
图像(数学)
任务(项目管理)
领域(数学分析)
情报检索
多样性(政治)
人工智能
语言学
数学
社会学
人类学
数学分析
哲学
经济
管理
作者
Andreas Lommatzsch,Benjamin Kille,Özlem Özgöbek,Yuxiao Zhou,Jelena Tešić,Cláudio Bartolomeu,David Semedo,Lidia Pivovarova,Mingliang Liang,Martha Larson
标识
DOI:10.1145/3524273.3532891
摘要
We present NewsImages, a dataset of online news items, and the related NewsImages rematching task. The goal of NewsImages is to provide researchers with a means of studying the depiction gap, which we define to be the difference between what an image literally depicts and the way in which it is connected to the text that it accompanies. Online news is a domain in which the image-text connection is known to be indirect: The news article does not describe what is literally depicted in the image. We validate NewsImages with experiments that show the dataset's and the task's use for studying occurring connections between image and text, as well as addressing the depiction gap, which include sparse data, diversity of content, and importance of background knowledge.
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