Text collections for FIRE

Authors:
Prasenjit Majumder;Mandar Mitra;Dipasree Pal;Ayan Bandyopadhyay;Samaresh Maiti;Sukanya Mitra;Aparajita Sen;Sukomal Pal
Affiliations:
Indian Statistical Institute, Kolkata, India;Indian Statistical Institute, Kolkata, India;Indian Statistical Institute, Kolkata, India;Indian Statistical Institute, Kolkata, India;Indian Statistical Institute, Kolkata, India;Indian Statistical Institute, Kolkata, India;Indian Statistical Institute, Kolkata, India;Indian Statistical Institute, Kolkata, India
Venue:
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2008

Citing 2
Cited 1

Probabilistic models of information retrieval based on measuring the divergence from randomness

ACM Transactions on Information Systems (TOIS)
The SMART Retrieval System—Experiments in Automatic Document Processing

The SMART Retrieval System—Experiments in Automatic Document Processing

Evaluation of information retrieval for E-discovery

Artificial Intelligence and Law

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Abstract

The aim of the Forum for Information Retrieval Evaluation (FIRE) is to create a Cranfield-like evaluation framework in the spirit of TREC, CLEF and NTCIR, for Indian Language Information Retrieval. For the first year, six Indian languages have been selected: Bengali, Hindi, Marathi, Punjabi, Tamil, and Telugu. This poster describes the tasks as well as the document and topic collections that are to be used at the FIRE workshop.