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Text collections for FIRE

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Sukomal PalAuthors Info & Claims

SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

Pages 699 - 700

https://doi.org/10.1145/1390334.1390458

Published: 20 July 2008 Publication History

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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.

References

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ACM Transactions on Asian Language Information Processing (TALIP) 2:2,3. ACM, 2003.

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G. Amati and C. J. van Rijsbergen. Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Trans. Inf. Syst., 20(4):357--389, 2002.

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I. Ounis, C. Lioma, C. Macdonald, and V. Plachouras. Research directions in terrier. Novatica/UPGRADE Special Issue on Web Information Access, Ricardo Baeza-Yates et al. (Eds), Invited Paper, 2007.

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S. E. Robertson, S. Walker, M. Hancock-Beaulieu, A. Gull, and M. Lau. Okapi at TREC. In Text REtrieval Conference, pages 21--30, 1992.

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G. Salton, editor. The SMART Retrieval System-Experiments in Automatic Document Retrieval. Prentice Hall Inc., Englewood Cliffs, NJ, 1971.

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Cited By

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Chakraborty AGhosh KParui S(2014)Building Test Collection from Old IR LiteratureProceedings of the 6th Annual Meeting of the Forum for Information Retrieval Evaluation10.1145/2824864.2824869(121-125)Online publication date: 5-Dec-2014
https://dl.acm.org/doi/10.1145/2824864.2824869
Kanapala APal S(2014)Test Collection for Legal IR from Online Discussion ForumsProceedings of the 6th Annual Meeting of the Forum for Information Retrieval Evaluation10.1145/2824864.2824865(126-129)Online publication date: 5-Dec-2014
https://dl.acm.org/doi/10.1145/2824864.2824865
Saravanan KUdupa RKumaran A(2013)Improving Cross-Language Information Retrieval by Transliteration Mining and GenerationMultilingual Information Access in South Asian Languages10.1007/978-3-642-40087-2_29(310-333)Online publication date: 2013
https://doi.org/10.1007/978-3-642-40087-2_29
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Index Terms

Text collections for FIRE
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results

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The FIRE 2008 Evaluation Exercise

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Sub-Word Indexing and Blind Relevance Feedback for English, Bengali, Hindi, and Marathi IR

The Forum for Information Retrieval Evaluation (FIRE) provides document collections, topics, and relevance assessments for information retrieval (IR) experiments on Indian languages. Several research questions are explored in this article: 1) How to ...
Building a text retrieval system for the Sanskrit language: Exploring indexing, stemming, and searching issues
Abstract
Stemming is an important pre-processing step in the text analysis domains such as text mining, text summarization and information retrieval (IR). In this study, we build a Sanskrit text collection and explore different indexing, stemming and ...
Highlights
- We build a Sanskrit text collection for the text analysis domain.
- We proposed an inflectional and derivational stemmer in Sanskrit.
- The performance of different stemmer is evaluated in the text analysis domain.

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Information

Published In

SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

July 2008

934 pages

ISBN:9781605581644

DOI:10.1145/1390334

General Chairs:
Tat-Seng Chua
National University of Singapore
,
Mun-Kew Leong
National Library Board, Singapore
,
Program Chairs:
Syung Hyon Myaeng
Information and Communications University, Korea
,
Douglas W. Oard
University of Maryland, College Park, USA
,
Fabrizio Sebastiani
Consiglio Nazionale delle Ricerche, Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 20 July 2008

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SIGIR '08: The 31st Annual International ACM SIGIR Conference

July 20 - 24, 2008

Singapore, Singapore

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Chakraborty AGhosh KParui S(2014)Building Test Collection from Old IR LiteratureProceedings of the 6th Annual Meeting of the Forum for Information Retrieval Evaluation10.1145/2824864.2824869(121-125)Online publication date: 5-Dec-2014
https://dl.acm.org/doi/10.1145/2824864.2824869
Kanapala APal S(2014)Test Collection for Legal IR from Online Discussion ForumsProceedings of the 6th Annual Meeting of the Forum for Information Retrieval Evaluation10.1145/2824864.2824865(126-129)Online publication date: 5-Dec-2014
https://dl.acm.org/doi/10.1145/2824864.2824865
Saravanan KUdupa RKumaran A(2013)Improving Cross-Language Information Retrieval by Transliteration Mining and GenerationMultilingual Information Access in South Asian Languages10.1007/978-3-642-40087-2_29(310-333)Online publication date: 2013
https://doi.org/10.1007/978-3-642-40087-2_29
Leveling JGanguly DJones G(2013)Term Conflation and Blind Relevance Feedback for Information Retrieval on Indian LanguagesMultilingual Information Access in South Asian Languages10.1007/978-3-642-40087-2_28(295-309)Online publication date: 2013
https://doi.org/10.1007/978-3-642-40087-2_28
Oard DBaron JHedin BLewis DTomlinson S(2010)Evaluation of information retrieval for E-discoveryArtificial Intelligence and Law10.1007/s10506-010-9093-918:4(347-386)Online publication date: 1-Dec-2010
https://dl.acm.org/doi/10.1007/s10506-010-9093-9
Majumder PMitra M(2009)Indian Language Information RetrievalGuide to OCR for Indic Scripts10.1007/978-1-84800-330-9_16(301-314)Online publication date: 28-Aug-2009
https://doi.org/10.1007/978-1-84800-330-9_16

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The FIRE 2008 Evaluation Exercise

Sub-Word Indexing and Blind Relevance Feedback for English, Bengali, Hindi, and Marathi IR

Building a text retrieval system for the Sanskrit language: Exploring indexing, stemming, and searching issues

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