We report the results of a study on topic spotting in conversational speech. Using a machine learning approach, we build classifiers that accept an audio file of conversational hu...
Kary Myers, Michael J. Kearns, Satinder P. Singh, ...
This paper addresses the problem of topic distillation on the World Wide Web, namely, given a typical user query to find quality documents related to the query topic. Connectivity...
The paper presents a study to define some of the most important legal topics that need to be included in the Services Sciences' research agenda. To analyze what sort of legal...
The combination of evidence can increase retrieval effectiveness. In this paper, we investigate the effectiveness of a decision mechanism for the selective combination of evidence...
The development of the IRIS semantic desktop platform has provided illumination of some important issues associated with the collection and manipulation of knowledge assets that a...