Conference Proceedings

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

Abstract

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.

University of Melbourne Researchers