Semimage: HSV-Based Semantic Image Encoding for Disentangled Text Representation 事件

Semimage: HSV-Based Semantic Image Encoding for Disentangled Text Representation arXiv:2512.00088v2 Announce Type: replace Abstract: We propose SemImage, a novel method for representing a text document as a two-dimensional semantic image to be processed by convolutional neural networks (CNNs). In a SemImage, each word is represented as a pixel in a 2D image: rows correspond to sentences and an additional boundary row is inserted between sentences to mark semantic transitions. Each pixel is not