This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...
Feiyu Xu, Hans Uszkoreit, Sebastian Krause, Hong L...
— We consider decision-making problems in Markov decision processes where both the rewards and the transition probabilities vary in an arbitrary (e.g., nonstationary) fashion. We...
Some of today’s most widely spread applications are social systems where people can form communities and share knowledge. However, knowledge sharing is not always effective and c...
Reusing HCI design knowledge shows potential in allowing practitioners to design based on previously identified concerns. A reuse approach is presented that is based on claims, de...
Abstract. Developing and maintaining software systems is a knowledge intensive task. One needs knowledge of the application domain of the software, the problem the system solves, t...