Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …

Recent years have witnessed the resurgence of knowledge engineering which is featured
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …

Abstract Vision-language (V+ L) pretraining models have achieved great success in
supporting multimedia applications by understanding the alignments between images and …

Abstract Knowledge-based visual question answering requires the ability of associating
external knowledge for open-ended cross-modal scene understanding. One limitation of …

To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant
biomedical knowledge in scientific literature to understand the disease mechanism and …

In recent years, Knowledge Graphs (KGs) have played a crucial role in the development of
advanced knowledge-intensive applications, such as recommender systems and semantic …

In this paper, we collect an anthology of 100 visual stories from authors who participated in
our systematic creative process of improvised story-building based on image sequences …

Most previous studies aim at extracting events from a single sentence, while document-level
event extraction still remains under-explored. In this paper, we focus on extracting event …

With knowledge graphs (KGs) at the center of numerous applications such as recommender
systems and question answering, the need for generalized pipelines to construct and …

While coreference resolution is defined independently of dataset domain, most models for
performing coreference resolution do not transfer well to unseen domains. We consolidate a …