JHU/APL at TREC 2002: Experiments in Filtering and Arabic Retrieval
Paul McNamee, Christine Piatko, James Mayfield · 2002
Laboratory (JHU/APL) participated in two tracks at this year’s conference. We participated in the filtering track, again addressing the batch and routing subtasks, as well as the adaptive task for the first time. We also continued experiments in Arabic retrieval, emphasizing language-neutral approaches. For ranked retrieval, we relied on a statistical language model to compute query/document similarity values. Hiemstra and de Vries describe such a linguistically motivated probabilistic model and explain how it relates to both the Boolean and vector space models [4]. The model has also been cast as a rudimentary Hidden Markov Model [13]. Although the model does not explicitly incorporate inverse document frequency, it does favor documents