University of Glasgow at TREC 2013: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks
Richard McCreadie, Romain Deveaud, M‐Dyaa Albakour, Stuart Mackie, Nut Limsopatham, Craig Macdonald, Iadh Ounis, Thibaut Thonet, Bekir Taner Dinçer · Text REtrieval Conference · 2013
Abstract : In TREC 2014, we focus on tackling the challenges posed by the Contextual Suggestion and Temporal Summarisation tracks, as well as enhancing our existing technologies to tackle risk-sensitivity as part of the Web track, building upon our Terrier Information Retrieval Platform. In particular for the Contextual Suggestion track, we propose a novel bundled venue retrieval approach and experiment with text-based summarisation for building the venue description. For our participation to the Temporal Summarisation track we propose a general framework for performing summarisation over time and two new real-time filtering approaches that leverage the semi-structured nature of news articles to enhance summary coverage. For the TREC Web track, we investigated a novel risk-sensitive learning to rank approach that is based on hypothesis testing and examined approaches that selectively apply different retrieval techniques based upon the query, with the aim of minimising risk.