This extension is performed by using a conditional independence assumption between the observed random variables corresponding to object features.
instead of considering as features only the words that express the event mentions (which is the way an observable object is represented in the original HDP model), we devised an HDP extension that is also able to represent features such as location, time, and agent for each event mention.