Despite significant advancement in ontology learning, building ontologies remains a task that highly depends on human intelligence, both as a source of domain expertise and for pro...
The growing trends towards integrating legacy applications with new systems in a network-centric environment has introduced yet another level of complexity beyond those we witness...
Abstract. Use of document genre in information retrieval systems has the potential to improve the task-appropriateness of results. However, genre classification remains a challengi...
Luanne Freund, Charles L. A. Clarke, Elaine G. Tom...
The past few years have experienced an explosive growth in scientific and regulatory documents related to the patent system. Relevant information is siloed into many heterogeneous...
Siddharth Taduri, Gloria T. Lau, Kincho H. Law, Ha...
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...