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Enhancing access to the Bibliome: the TREC 2004 Genomics Track

BACKGROUND: The goal of the TREC Genomics Track is to improve information retrieval in the area of genomics by creating test collections that will allow researchers to improve and better understand failures of their systems. The 2004 track included an ad hoc retrieval task, simulating use of a searc...

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Detalles Bibliográficos
Autores principales: Hersh, William R, Bhupatiraju, Ravi Teja, Ross, Laura, Roberts, Phoebe, Cohen, Aaron M, Kraemer, Dale F
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1440302/
https://www.ncbi.nlm.nih.gov/pubmed/16722581
http://dx.doi.org/10.1186/1747-5333-1-3
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author Hersh, William R
Bhupatiraju, Ravi Teja
Ross, Laura
Roberts, Phoebe
Cohen, Aaron M
Kraemer, Dale F
author_facet Hersh, William R
Bhupatiraju, Ravi Teja
Ross, Laura
Roberts, Phoebe
Cohen, Aaron M
Kraemer, Dale F
author_sort Hersh, William R
collection PubMed
description BACKGROUND: The goal of the TREC Genomics Track is to improve information retrieval in the area of genomics by creating test collections that will allow researchers to improve and better understand failures of their systems. The 2004 track included an ad hoc retrieval task, simulating use of a search engine to obtain documents about biomedical topics. This paper describes the Genomics Track of the Text Retrieval Conference (TREC) 2004, a forum for evaluation of IR research systems, where retrieval in the genomics domain has recently begun to be assessed. RESULTS: A total of 27 research groups submitted 47 different runs. The most effective runs, as measured by the primary evaluation measure of mean average precision (MAP), used a combination of domain-specific and general techniques. The best MAP obtained by any run was 0.4075. Techniques that expanded queries with gene name lists as well as words from related articles had the best efficacy. However, many runs performed more poorly than a simple baseline run, indicating that careful selection of system features is essential. CONCLUSION: Various approaches to ad hoc retrieval provide a diversity of efficacy. The TREC Genomics Track and its test collection resources provide tools that allow improvement in information retrieval systems.
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spelling pubmed-14403022006-04-19 Enhancing access to the Bibliome: the TREC 2004 Genomics Track Hersh, William R Bhupatiraju, Ravi Teja Ross, Laura Roberts, Phoebe Cohen, Aaron M Kraemer, Dale F J Biomed Discov Collab Research BACKGROUND: The goal of the TREC Genomics Track is to improve information retrieval in the area of genomics by creating test collections that will allow researchers to improve and better understand failures of their systems. The 2004 track included an ad hoc retrieval task, simulating use of a search engine to obtain documents about biomedical topics. This paper describes the Genomics Track of the Text Retrieval Conference (TREC) 2004, a forum for evaluation of IR research systems, where retrieval in the genomics domain has recently begun to be assessed. RESULTS: A total of 27 research groups submitted 47 different runs. The most effective runs, as measured by the primary evaluation measure of mean average precision (MAP), used a combination of domain-specific and general techniques. The best MAP obtained by any run was 0.4075. Techniques that expanded queries with gene name lists as well as words from related articles had the best efficacy. However, many runs performed more poorly than a simple baseline run, indicating that careful selection of system features is essential. CONCLUSION: Various approaches to ad hoc retrieval provide a diversity of efficacy. The TREC Genomics Track and its test collection resources provide tools that allow improvement in information retrieval systems. BioMed Central 2006-03-13 /pmc/articles/PMC1440302/ /pubmed/16722581 http://dx.doi.org/10.1186/1747-5333-1-3 Text en Copyright © 2006 Hersh et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Hersh, William R
Bhupatiraju, Ravi Teja
Ross, Laura
Roberts, Phoebe
Cohen, Aaron M
Kraemer, Dale F
Enhancing access to the Bibliome: the TREC 2004 Genomics Track
title Enhancing access to the Bibliome: the TREC 2004 Genomics Track
title_full Enhancing access to the Bibliome: the TREC 2004 Genomics Track
title_fullStr Enhancing access to the Bibliome: the TREC 2004 Genomics Track
title_full_unstemmed Enhancing access to the Bibliome: the TREC 2004 Genomics Track
title_short Enhancing access to the Bibliome: the TREC 2004 Genomics Track
title_sort enhancing access to the bibliome: the trec 2004 genomics track
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1440302/
https://www.ncbi.nlm.nih.gov/pubmed/16722581
http://dx.doi.org/10.1186/1747-5333-1-3
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