We present an empirically grounded method for evaluating content selection in summarization. It incorporates the idea that no single best model summary for a collection of documen...
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
This paper introduces a novel probabilistic activity modeling approach that mines recurrent sequential patterns from documents given as word-time occurrences. In this model, docum...
Forensic evidence in the form of two-level hierarchical multivariate continuous data is modelled using a likelihood ratio approach. Data are available from fragments of glass and ...
Daniel Ramos, Joaquin Gonzalez-Rodriguez, Grzegorz...
IR research has a strong tradition of laboratory evaluation of systems. Such research is based on test collections, pre-defined test topics, and standard evaluation metrics. While ...