PAN@FIRE: Overview of the Cross-Language !ndian News Story Search (CL!NSS) Track

  title={PAN@FIRE: Overview of the Cross-Language !ndian News Story Search (CL!NSS) Track},
  author={Parth Gupta and Paul D. Clough and Paolo Rosso and Mark Stevenson and Rafael E. Banchs},
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 results and analysis. 

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DCU at FIRE 2013: Cross-Language !ndian News Story Search

  • P. Arora, J. Foster, G.J.F. Jones
  • 2013
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