Abstract Knowledge bases (KBs) about notable entities and their properties are an important
asset in applications such as search, question answering and dialog. All popular KBs …

Day by day there is seen large growth in sentiment rich social and electronic media.
Researchers have increasing interest in vast amount of user data generated such as …

Purpose Improving healthcare services by developing assistive technologies includes both
the health aid devices and the analysis of the data collected by them. The acquired data …

Machine knowledge about entities and their relationships has been a long-standing goal for
AI researchers. Over the last 15 years, thousands of public knowledge graphs have been …

The current paper presents an approach for analyzing the Electronic Health Records (EHRs)
with the goal of automatically identifying morphologic negation such that swapping the truth …

In the attempt to build a complete solution for a medical assistive decision support system
we proposed a complex flow that integrates a sequence of modules which target the …

Concept extraction from unstructured documents is a sensitive step in the knowledge
extraction process. The transformation of the unstructured documents into structured data …

Táto práca sa venuje negácii ako jazykovému prostriedku v slovenskom a anglickom jazyku.
Predmetom výskumu sú moznosti automatizovanej detekcie negácie v neštruktúrovanom …

In this master thesis of Hugo van Krimpen for the master Business informatics at Utrecht
University, we aim to provide insight on the current state of natural language processing. We …

I would like to express my special appreciation and thanks to my advisor Prof. Dr. Eng.
Rodica Potolea, for her patience, constant motivation and passion for sharing her immense …