InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification

arXiv:2109.07319v3 Announce Type: replace-cross
Abstract: Automatic annotation of short-text data to a large number of target labels, referred to as Short Text Extreme Classification, has found numerous applications including prediction of related searches and product recommendation tasks. In this paper, we propose a convolutional architecture InceptionXML which is light-weight, yet powerful, and robust to the inherent lack of word-order in short-text queries encountered in search and recommendation tasks. We demonstrate the efficacy of applying convolutions by recasting the operation along …

abstract annotation applications architecture arxiv classification cs.ai cs.cl cs.lg data found framework labels negative paper prediction product product recommendation recommendation sampling tasks text type