Causality

This paper proposes a semi-supervised rela- tion acquisition method that does not rely on extraction patterns (e.g. “X causes Y” for causal relations) but instead learns a combi- nation of …...

AbstractCausality lies at the heart of biomedical knowledge, being involved in diagnosis, pathology or systems biology. Thus, automatic causality recognition can greatly reduce the human workload by suggesting possible causal …...

In this paper, we describe the Circumstantial Event Ontology (CEO), a newly developed ontology for calamity events that models semantic circumstantial relations between event classes, where we define circumstantial as …...

This paper proposes the task of Visual COPA (VCOPA). Given a premise image and two alternative images, the task is to identify the more plausible alternative with their commonsense causal …...