ly abstract model for a quantum unctional language (extended abstract) Peter Selinger1 ,2 Dalhousie University, Halifax, Nova Scotia, Canada Beno^it Valiron3 University of Ottawa, ...
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
The language modeling approach to retrieval has been shown to perform well empirically. One advantage of this new approach is its statistical foundations. However, feedback, as on...
Genomic IR, characterized by its highly specific information need, severe synonym and polysemy problem, long term name and rapid growing literature size, is challenging IR communit...
Capitalizing on the intuitive underlying assumptions of Language Modelling for Ad-Hoc Retrieval we present a novel approach that is capable of injecting the user’s context of th...
Leif Azzopardi, Mark Girolami, Cornelis Joost van ...