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Overview of the Causality-driven Adhoc Information Retrieval (CAIR) task at FIRE-2021

Published: 26 January 2022 Publication History

Abstract

The CAusality-based Information Retrieval (CAIR) track at FIRE 2021 focuses on the task of retrieving potentially relevant documents in response to a query indicating one or more events, where the notion of relevance is determined by whether a document indicates potential causes that might have led to the specified events in the query. In 2020, we released a dataset comprised of a benchmark set of 25 queries along with the relevance judgments. The target document collection is the English monolingual FIRE ad-hoc document collection. This second iteration of the track acted as a continuation of the same task with the same dataset as in the last year. The objective was to encourage the participants to try out more involved approaches (e.g. supervised ones) for improving on the retrieval effectiveness.

References

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Lin C. and Zhang Y.2020. Causality Detection for Causality-driven Adhoc Information Retrieval Task. In Proceedings of FIRE 2020 - Forum for Information Retrieval Evaluation (December 2020).
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Dalal D., Gupta S. D., and Binaei B.2021. A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval. In Proceedings of FIRE 2021 - Forum for Information Retrieval Evaluation (December 2021).
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S. Datta, D. Ganguly, D. Roy, F. Bonin, C. Jochim, and M. Mitra. 2020. Retrieving Potential Causes from a Query Event. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (Virtual Event, China) (SIGIR ’20). Association for Computing Machinery, 1689–1692.
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Datta S., Greene D., Ganguly D., Roy D., and Mitra M.2020. Where’s the Why? In Search of Chains of Causes for Query Events. In Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020(CEUR Workshop Proceedings), Luca Longo, Lucas Rizzo, Elizabeth Hunter, and Arjun Pakrashi (Eds.). Vol. 2771. CEUR-WS.org, 109–120.
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Datta S., Ganguly D., Roy D., Greene D., Jochim C., and Bonin F.2020. Overview of the Causality-driven Adhoc Information Retrieval (CAIR) task at FIRE-2020. In FIRE 2020: Forum for Information Retrieval Evaluation, Hyderabad, India, December 16-20, 2020, Prasenjit Majumder, Mandar Mitra, Surupendu Gangopadhyay, and Parth Mehta (Eds.). ACM, 14–17.
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Palchowdhury S., Majumder P., Pal D., Bandyopadhyay A., and Mitra M.2011. Overview of FIRE 2011. In Multilingual Information Access in South Asian Languages - Second International Workshop, FIRE 2010, Gandhinagar, India, February 19-21, 2010 and Third International Workshop, FIRE 2011, Bombay, India, December 2-4, 2011, Revised Selected Papers. 1–12.

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        cover image ACM Other conferences
        FIRE '21: Proceedings of the 13th Annual Meeting of the Forum for Information Retrieval Evaluation
        December 2021
        113 pages
        ISBN:9781450395960
        DOI:10.1145/3503162
        Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        New York, NY, United States

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        Published: 26 January 2022

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        FIRE 2021
        FIRE 2021: Forum for Information Retrieval Evaluation
        December 13 - 17, 2021
        Virtual Event, India

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        Overall Acceptance Rate 19 of 64 submissions, 30%

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