This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
Along with increasing investments in new technologies, user technology acceptance becomes a frequently studied topic in the information systems discipline. The last two decades ha...
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
In this paper, we discuss the efforts underway at the Pacific Northwest National Laboratory in understanding the dynamics of multi-party discourse across a number of communication...
Andrew J. Cowell, Michelle L. Gregory, Joe Bruce, ...
: Reasoning about incomplete qualitative temporal information is an essential topic in many artificial intelligence and natural language processing applications. In the domain of n...