IIT at TREC-10.

Abstract

For TREC-10, we participated in the adhoc and manual web tracks and in both the site-finding and cross-lingual tracks. For the adhoc track, we did extensive calibrations and learned that combining similarity measures yields little improvement. This year, we focused on a single highperformance similarity measure. For site finding, we implemented several algorithms that did well on the data provided for calibration, but poorly on the real dataset. For the cross-lingual track, we calibrated on the monolingual collection, and developed new Arabic stemming algorithms as well as a novel dictionary-based means of cross-lingual retrieval. Our results in this track were quite promising, with seventeen of our queries performing at or above the median.