It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
In this paper, we describe Chrysant, a hypertext version control system for embedded link models. Chrysant provides generalpurpose versioning capability to hypertext systems with ...
Relational instance-based learning (RIBL) algorithms offer high prediction capabilities. However, they do not scale up well, specially in domains where there is a time bound for c...
One cannot deny that space and time are important to us. We perceive our world with respect to where and when we do things. We advocate geoblogging as a tool to capture such exper...