3 accepted papers
This paper proposes a prior driven semi-supervised ViT-GAN called RC-ViTGAN for recoloring images while retaining color harmonization and semantic rationality. The encoder of RC-ViTGAN is based on the vision transformer to avoid the locality of convolutional networks, which facilitates the extractio…
Keyphrase generation (KPG) aims to automatically generate a collection of phrases representing the core concepts of a given document. The dominant paradigms in KPG include one2seq and one2set. Recently, there has been increasing interest in applying large language models (LLMs) to KPG. Our prelimina…
Cross-document Relation Extraction aims to predict the relation between target entities located in different documents. In this regard, the dominant models commonly retain useful information for relation prediction via bridge entities, which allows the model to elaborately capture the intrinsic inte…