@inproceedings{miller-etal-2008-infrastructure,
title = "An Infrastructure, Tools and Methodology for Evaluation of Multicultural Name Matching Systems",
author = "Miller, Keith J. and
Arehart, Mark and
Ball, Catherine and
Polk, John and
Rubenstein, Alan and
Samuel, Kenneth and
Schroeder, Elizabeth and
Vecchi, Eva and
Wolf, Chris",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}`08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L08-1393/",
abstract = "This paper describes a Name Matching Evaluation Laboratory that is a joint effort across multiple projects. The lab houses our evaluation infrastructure as well as multiple name matching engines and customized analytical tools. Included is an explanation of the methodology used by the lab to carry out evaluations. This methodology is based on standard information retrieval evaluation, which requires a carefully-constructed test data set. The paper describes how we created that test data set, including the ground truth used to score the systems performance. Descriptions and snapshots of the labs various tools are provided, as well as information on how the different tools are used throughout the evaluation process. By using this evaluation process, the lab has been able to identify strengths and weaknesses of different name matching engines. These findings have led the lab to an ongoing investigation into various techniques for combining results from multiple name matching engines to achieve optimal results, as well as into research on the more general problem of identity management and resolution."
}
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<abstract>This paper describes a Name Matching Evaluation Laboratory that is a joint effort across multiple projects. The lab houses our evaluation infrastructure as well as multiple name matching engines and customized analytical tools. Included is an explanation of the methodology used by the lab to carry out evaluations. This methodology is based on standard information retrieval evaluation, which requires a carefully-constructed test data set. The paper describes how we created that test data set, including the ground truth used to score the systems performance. Descriptions and snapshots of the labs various tools are provided, as well as information on how the different tools are used throughout the evaluation process. By using this evaluation process, the lab has been able to identify strengths and weaknesses of different name matching engines. These findings have led the lab to an ongoing investigation into various techniques for combining results from multiple name matching engines to achieve optimal results, as well as into research on the more general problem of identity management and resolution.</abstract>
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%0 Conference Proceedings
%T An Infrastructure, Tools and Methodology for Evaluation of Multicultural Name Matching Systems
%A Miller, Keith J.
%A Arehart, Mark
%A Ball, Catherine
%A Polk, John
%A Rubenstein, Alan
%A Samuel, Kenneth
%A Schroeder, Elizabeth
%A Vecchi, Eva
%A Wolf, Chris
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC‘08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F miller-etal-2008-infrastructure
%X This paper describes a Name Matching Evaluation Laboratory that is a joint effort across multiple projects. The lab houses our evaluation infrastructure as well as multiple name matching engines and customized analytical tools. Included is an explanation of the methodology used by the lab to carry out evaluations. This methodology is based on standard information retrieval evaluation, which requires a carefully-constructed test data set. The paper describes how we created that test data set, including the ground truth used to score the systems performance. Descriptions and snapshots of the labs various tools are provided, as well as information on how the different tools are used throughout the evaluation process. By using this evaluation process, the lab has been able to identify strengths and weaknesses of different name matching engines. These findings have led the lab to an ongoing investigation into various techniques for combining results from multiple name matching engines to achieve optimal results, as well as into research on the more general problem of identity management and resolution.
%U https://aclanthology.org/L08-1393/
Markdown (Informal)
[An Infrastructure, Tools and Methodology for Evaluation of Multicultural Name Matching Systems](https://aclanthology.org/L08-1393/) (Miller et al., LREC 2008)
ACL
- Keith J. Miller, Mark Arehart, Catherine Ball, John Polk, Alan Rubenstein, Kenneth Samuel, Elizabeth Schroeder, Eva Vecchi, and Chris Wolf. 2008. An Infrastructure, Tools and Methodology for Evaluation of Multicultural Name Matching Systems. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).