Abstract

We present an overview of our work carried out for DCU’s participation in the Cross Language !ndian News Story Search (CL!NSS) task at FIRE 2013. Our team submitted 3 main runs and 2 additional runs for this task. Our approach consisted of 2 steps: (1) the Lucene search engine was used with varied input query formulations using different features and heuristics designed to identify as many relevant documents as possible to improve recall; (2) document list merging and re-ranking was performed with the incorporation of a date feature. The results of our best run were ranked first among official submissions based on NDCG@5 and NDCG@10 values and second for NDCG@1 values. For the 25 test queries the results of our best main run were NDCG@1 0.7400, NDCG@5 0.6809 and NDCG@10 0.7268.