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...
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 ...
This paper presents a new dependence language modeling approach to information retrieval. The approach extends the basic language modeling approach based on unigram by relaxing th...
Jianfeng Gao, Jian-Yun Nie, Guangyuan Wu, Guihong ...
Although many variants of language models have been proposed for information retrieval, there are two related retrieval heuristics remaining “external” to the language modelin...