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Question Processing and Clustering in INDOC: A Biomedical Question Answering System
The exponential growth in the volume of publications in the biomedical domain has made it impossible for an individual to keep pace with the advances. Even though evidence-based medicine has gained wide acceptance, the physicians are unable to access the relevant information in the required time, le...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171333/ https://www.ncbi.nlm.nih.gov/pubmed/18274647 http://dx.doi.org/10.1155/2007/28576 |
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author | Sondhi, Parikshit Raj, Purushottam Kumar, V Vinod Mittal, Ankush |
author_facet | Sondhi, Parikshit Raj, Purushottam Kumar, V Vinod Mittal, Ankush |
author_sort | Sondhi, Parikshit |
collection | PubMed |
description | The exponential growth in the volume of publications in the biomedical domain has made it impossible for an individual to keep pace with the advances. Even though evidence-based medicine has gained wide acceptance, the physicians are unable to access the relevant information in the required time, leaving most of the questions unanswered. This accentuates the need for fast and accurate biomedical question answering systems. In this paper we introduce INDOC—a biomedical question answering system based on novel ideas of indexing and extracting the answer to the questions posed. INDOC displays the results in clusters to help the user arrive the most relevant set of documents quickly. Evaluation was done against the standard OHSUMED test collection. Our system achieves high accuracy and minimizes user effort. |
format | Online Article Text |
id | pubmed-3171333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Springer |
record_format | MEDLINE/PubMed |
spelling | pubmed-31713332011-09-13 Question Processing and Clustering in INDOC: A Biomedical Question Answering System Sondhi, Parikshit Raj, Purushottam Kumar, V Vinod Mittal, Ankush EURASIP J Bioinform Syst Biol Research Article The exponential growth in the volume of publications in the biomedical domain has made it impossible for an individual to keep pace with the advances. Even though evidence-based medicine has gained wide acceptance, the physicians are unable to access the relevant information in the required time, leaving most of the questions unanswered. This accentuates the need for fast and accurate biomedical question answering systems. In this paper we introduce INDOC—a biomedical question answering system based on novel ideas of indexing and extracting the answer to the questions posed. INDOC displays the results in clusters to help the user arrive the most relevant set of documents quickly. Evaluation was done against the standard OHSUMED test collection. Our system achieves high accuracy and minimizes user effort. Springer 2007-12-05 /pmc/articles/PMC3171333/ /pubmed/18274647 http://dx.doi.org/10.1155/2007/28576 Text en Copyright © 2007 Parikshit Sondhi et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sondhi, Parikshit Raj, Purushottam Kumar, V Vinod Mittal, Ankush Question Processing and Clustering in INDOC: A Biomedical Question Answering System |
title | Question Processing and Clustering in INDOC: A Biomedical Question Answering System |
title_full | Question Processing and Clustering in INDOC: A Biomedical Question Answering System |
title_fullStr | Question Processing and Clustering in INDOC: A Biomedical Question Answering System |
title_full_unstemmed | Question Processing and Clustering in INDOC: A Biomedical Question Answering System |
title_short | Question Processing and Clustering in INDOC: A Biomedical Question Answering System |
title_sort | question processing and clustering in indoc: a biomedical question answering system |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171333/ https://www.ncbi.nlm.nih.gov/pubmed/18274647 http://dx.doi.org/10.1155/2007/28576 |
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