We present the first comprehensive, open source multimedia knowledge extraction system
that takes a massive stream of unstructured, heterogeneous multimedia data from various …

Entity Resolution (ER) is the problem of determining when two entities refer to the same
underlying entity. The problem has been studied for over 50 years, and most recently, has …

This paper demonstrates a state-of-the-art end-to-end multilingual (English, Russian, and
Ukrainian) knowledge extraction system that can perform entity discovery and linking …

In reality, the amount of data from different categories varies significantly, which results in
learning bias towards prominent classes, hindering the overall classification performance. In …

This work presents a unified knowledge protocol, called UKnow, which facilitates knowledge-
based studies from the perspective of data. Particularly focusing on visual and linguistic …

We participated in the SM-KBP 2020 evaluation using our dockerlized GAIA system, an end-
toend knowledge extraction, grounding, inference, clustering, temporal tracking and …

Towards automating microservices orchestration through data-driven evolutionary
architectures | Service Oriented Computing and Applications Skip to main content …

In the past year the GAIA team has improved our end-to-end knowledge extraction,
grounding, inference, clustering and hypothesis generation system that covers all languages …

This chapter provides an extensive dive into AI research and innovation in industry today.
We begin by considering the most important source of AI innovation outside of academia …

Relation classification tends to struggle when training data are limited or when it needs to
adapt to unseen categories. In such challenging scenarios, recent approaches employ the …