The World Wide Web is a vast resource for information. At the same time it is extremely distributed. A particular type of data such as restaurant lists maybe scattered across thous...
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
Event based analysis plays an important role in reducing the latency of information delivery in an event driven world. Also, the perception of an ‘event’ by a user is at a hig...
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...
It is well-known that default reasoning and preference-based decision making both make use of preferential relations between possible worlds resp. alternatives. In this paper, we ...