Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
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 ...
Spatial language video retrieval is an important real-world problem that is also a natural test bed for evaluating semantic structures for natural language descriptions of motion ...
Abstract. This paper describes a new technique for the direct translation of character n-grams for use in Cross-Language Information Retrieval systems. This solution avoids the nee...
An empirical study has been conducted investigating the relationship between the performance of a generative language model in terms of perplexity and the corresponding informatio...
Leif Azzopardi, Mark Girolami, Keith van Rijsberge...