Pan@fire: overview of the cross-language !ndian news story search (cl!nss) track
P Gupta, P Clough, P Rosso, M Stevenson, RE Banchs
Post-Proceedings of the 4th and 5th Workshops of the Forum for Information Retrieval Evaluation | Published : 2013
The automatic alignment of documents in a quasi-comparable corpus is an important research problem for a resource poor cross-language technologies. News stories form one of the most prolific and abundant language resource. The PAN@FIRE task, cross-language !ndia news story search (CL!NSS), aimed to address the news story linking task across languages English and Hindi. We present the overview of the track with.