review-article

Report on INEX 2010

Pages 2 - 17

https://doi.org/10.1145/1988852.1988854

Published: 24 May 2011 Publication History

Abstract

INEX investigates focused retrieval from structured documents by providing large test collections of structured documents, uniform evaluation measures, and a forum for organizations to compare their results. This paper reports on the INEX 2010 evaluation campaign, which consisted of a wide range of tracks: Ad Hoc, Book, Data Centric, Interactive, QA, Link the Wiki, Relevance Feedback, Web Service Discovery and XML Mining.

References

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Cited By

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Zhang YLi RZhang QQin HQin LWang G(2024)Efficient Algorithms for Pseudoarboricity Computation in Large Static and Dynamic GraphsProceedings of the VLDB Endowment10.14778/3681954.368195817:11(2722-2734)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.14778/3681954.3681958
Ullah IAlam SAli ZKhan MJabeen FKhusro S(2023)On the current state of query formulation for book searchArtificial Intelligence Review10.1007/s10462-023-10483-756:10(12085-12130)Online publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1007/s10462-023-10483-7

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Report on INEX 2010
1. General and reference

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ACM SIGIR Forum Volume 45, Issue 1

June 2011

79 pages

ISSN:0163-5840

DOI:10.1145/1988852

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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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Published: 24 May 2011

Published in SIGIR Volume 45, Issue 1

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Zhang YLi RZhang QQin HQin LWang G(2024)Efficient Algorithms for Pseudoarboricity Computation in Large Static and Dynamic GraphsProceedings of the VLDB Endowment10.14778/3681954.368195817:11(2722-2734)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.14778/3681954.3681958
Ullah IAlam SAli ZKhan MJabeen FKhusro S(2023)On the current state of query formulation for book searchArtificial Intelligence Review10.1007/s10462-023-10483-756:10(12085-12130)Online publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1007/s10462-023-10483-7

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UPF at INEX 2010: towards query-type based focused retrieval

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